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Common Operating Picture for Ports: hensec Integrates Drone Detection and GNSS Monitoring

Common Operating Picture for Ports: hensec Integrates Drone Detection and GNSS Monitoring

New Portags security platform combines data from multiple sensors in one operational view to protect critical port infrastructure against drones and GNSS manipulation

Karlsruhe, September 8, 2026 – Baltic Sea countries are stepping up their cooperation to protect against hybrid threats. At the Baltic Sea Security Summit in late August, Germany, Denmark, Estonia, Finland, Latvia, Lithuania, Poland, Sweden and Norway agreed to intensify information sharing and establish a joint task force. Shared situational awareness and compatible security technologies are also moving higher up the agenda. Ports have a particularly important role to play: As hubs for logistics, energy supply, industry and data connections, they are among the most sensitive areas of critical infrastructure.

To help protect this infrastructure, German security company hensec secure solutions has developed Portags (Port Airspace and GNSS Security). Designed specifically for ports, the integrated airspace and Global Navigation Satellite System (GNSS) monitoring platform combines multiple detection technologies in one operational view. Put simply, the system monitors the airspace above a port for potential airborne objects such as drones, while simultaneously checking whether satellite navigation signals are reliable or being disrupted. This enables security teams to centrally detect, assess and document drone activity and GNSS interference.

“Shared situational awareness isn’t achieved simply by installing more and more individual sensors. What matters is bringing their data together, correlating it and presenting it in a way that allows security teams to quickly understand what is actually happening,” said Kevin Heneka, Managing Director of hensec secure solutions. “Particularly in complex port environments, it is essential not to look at different sources of information in isolation, but to understand how they relate to one another.”

From Individual Signals to a Common Operating Picture

Portags combines several detection technologies. RF sensors monitor relevant frequency ranges and detect active drone communication and control signals. These include Remote ID data, control and communication signals, as well as telemetry and movement information. Passive radar complements this data by making non-transmitting and non-cooperative airborne objects visible.

At the same time, the system monitors the GNSS environment. Jamming occurs when GNSS signals are overlaid, blocked or severely degraded. With spoofing, receivers are presented with plausible but false navigation or time information. The proprietary GNSS analysis systems integrated into Portags analyze signal quality, detect interference and anomalies, and perform plausibility checks to identify and classify suspicious events.

According to hensec, GNSS interference can affect not only navigation, but also synchronization and automated processes. Potentially affected areas include maritime and air traffic, critical infrastructure, communications systems and autonomous systems that depend on reliable positioning or timing information.

RF, radar, telemetry and GNSS data are brought together, correlated and classified through sensor fusion. Relevant information is then displayed centrally in a Common Operating Picture. Incidents can be visualized, alerts generated and a traceable event record maintained.

GNSS Interference in the Baltic Sea Region

Research involving hensec also demonstrates the relevance of GNSS interference to maritime security. During a measurement campaign conducted in 2025, a GNSS interference detector was installed aboard a research vessel operating in the southern Baltic Sea between June and October.

The measurements identified combined jamming and spoofing activity, among other forms of interference. In some cases, significantly stronger interference was measured at sea than in the Port of Gdansk. The study shows that vessels in the Baltic Sea region are at times exposed to complex GNSS interference.

“Where drone activity and interference with navigation signals can occur at the same time, relying on a single sensor source is not enough,” Heneka explained. “Portags therefore takes a multi-sensor approach: Different data sources are brought together and checked for plausibility, giving security teams a reliable basis for assessing the situation.”

Modular, Scalable and Integrable

The Portags sensor architecture is planned according to the specific site, risk profile and required coverage. The system is modular and scalable and can be deployed in either stationary or mobile configurations.

Potential applications include container terminals, tank farms, port entrances and automated terminals. The system can also be used to monitor critical energy, communications and control infrastructure.

Open interfaces allow Portags to be integrated into existing operations centers. Multiple sensor nodes can be connected via a secure data network, bringing the information together in a Common Operating Picture.

Portags therefore takes an integrated approach to port monitoring: detecting drones, identifying GNSS interference and bringing together different sources of information so that security situations can be assessed centrally and fast, informed decisions can be made.



 

 

 

 

GNSS Interference from Space part 2

GNSS Interference Does Not Only Come From the Ground: What Recent Observations Mean for Resilient Navigation

When we talk about GNSS jamming, we often have a familiar scenario in mind: a jammer located on the ground or inside a vehicle overwhelms the weak signals transmitted by GPS, Galileo and other satellite navigation systems.

A recent observation by our partner GPSPATRON shows why this picture may be too narrow. In September 2026, a network of independent GNSS monitoring stations across Europe detected an unusual interference event affecting GPS and Galileo frequencies almost simultaneously. Analysis indicates that the interfering transmission originated in space.

That is unusual. But when considering how a GNSS receiver can deal with interference, the geographical origin of the signal is only one part of the problem.

What was observed?

On 3 September 2026 at approximately 09:10 UTC, GPSPATRON's European monitoring network detected a short degradation in GNSS reception at geographically separated monitoring locations almost simultaneously.

Both GPS and Galileo were affected. Depending on location and receiver, the observed carrier-to-noise ratio (C/N₀) decreased by approximately 2 to 5 dB-Hz.

The event was observed using different types of monitoring equipment, including RTK stations, Septentrio receivers and dedicated GNSS interference sensors. Raw RF data were also recorded.

GPSPATRON identified a transmission centred at approximately 1577.5 MHz with a bandwidth of around 2.46 MHz. Based on the wide geographical area affected, the timing of the observations and other signal characteristics, their analysis concludes that the transmission was space-based.

There is, however, an important distinction between interference and intentional jamming.

A transmission that affects GNSS reception was not necessarily generated for that purpose. GPSPATRON explicitly notes that the origin or intended function of the observed signal has not yet been conclusively determined. Possible explanations include another satellite function, a test transmission or unintended in-band emissions.

Why the direction of interference is not the whole story

GNSS signals arrive at the Earth's surface at extremely low power levels. Additional radio-frequency signals within or close to the frequencies used by GNSS can therefore affect reception.

From the receiver's perspective, the first question is what signal arrives at its antenna.

Relevant parameters include:

  • frequency and bandwidth

  • interference power relative to the GNSS signals

  • temporal behaviour

  • modulation and signal structure

  • affected GNSS bands

Whether the source is located on the ground, on an airborne platform or in space does not fundamentally change this situation.

That does not mean direction is irrelevant.

Spatial anti-jam techniques such as Controlled Reception Pattern Antennas (CRPA), beamforming and null steering depend strongly on the direction of arrival. These systems can reduce signals arriving from particular directions.

Receiver-level techniques take a different approach. They analyse and process the received signal itself and can detect and suppress certain types of interference, for example in the frequency or time domain.

The two approaches are complementary, but they address different parts of the problem.

What Jammertest 2026 tells us

At around the same time as the GPSPATRON observation, GNSS receivers and PNT systems were being exposed to controlled real-world jamming and spoofing scenarios during Jammertest 2026 on Andøya, Norway.

Septentrio subsequently published initial results from tests of its AIM+ interference mitigation technology. Among other scenarios, receivers were exposed to strong chirp interference. The published results indicate that modern receiver signal processing can significantly reduce the impact of certain interference signals and improve the availability of the GNSS solution.

Spoofing – the transmission of manipulated GNSS-like signals intended to produce an incorrect navigation solution – was also part of the testing.

These results are relevant to resilient navigation, but they should not be overinterpreted. Successful performance against a particular jammer does not demonstrate immunity against every possible interference scenario.

In particular, the space-based signal observed by GPSPATRON was not reproduced during Jammertest.

The connection between the two developments is therefore technical rather than experimental: they illustrate different aspects of the same problem.

Detection and mitigation are different tasks

The two recent developments also highlight an important distinction.

Interference detection addresses questions such as:

Is the GNSS spectrum being disturbed? Which frequencies are affected? How strong is the interference? Could it be jamming or spoofing? When and where is it occurring?

Interference mitigation, on the other hand, attempts to reduce the effect of an existing disturbance on the navigation solution.

A system can detect interference very effectively and still lose its GNSS position. Conversely, a receiver may successfully suppress certain interference without providing the operator with a complete picture of what is happening in the surrounding RF environment.

For safety-critical and autonomous systems, both capabilities therefore matter.

Resilient PNT is more than a robust GNSS receiver

These observations illustrate why resilient positioning, navigation and timing (PNT) should be considered at system level.

A modern GNSS receiver with interference mitigation provides an important line of defence. It can increase the probability that GNSS remains usable in difficult RF conditions.

But it cannot guarantee that GNSS will remain available or trustworthy under every circumstance.

Resilient PNT architectures therefore combine several layers:

Detect → Mitigate → Assess Integrity → Continue Navigation

Interference is detected and characterised. The GNSS receiver attempts to reduce its effects. At the same time, the system needs to determine whether the resulting position can still be trusted. If GNSS is no longer sufficiently available or reliable, additional sensors or navigation sources must support or temporarily replace it.

For autonomous vehicles, UAVs and other unmanned systems, this last point is particularly important. An autonomous system does not merely need to calculate a position. It also needs to know when that position should no longer be trusted.

From interference source to system resilience

The observation of space-based GNSS interference therefore primarily broadens the way we should think about the problem.

GNSS interference does not have to resemble the traditional scenario of a ground-based jammer. It can have different causes, signal characteristics and directions of arrival – and it does not even need to be intentionally directed at GNSS to affect its availability.

For the design of resilient navigation systems, this leads to a simple but important conclusion:

Preparing for only one type or one origin of interference is not enough.

Robust systems require a combination of GNSS and RF monitoring, receiver-level interference mitigation, integrity assessment and additional navigation sources.

The key question is therefore not only:

Where does the interference come from?

It is also:

Can the system detect it, limit its impact and continue to determine where it is – while knowing how much that information can still be trusted?

Sources and further reading

Contact: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.

https://www.hensec.com/en/component/content/article/regina-air-3?catid=22

https://www.hensec.com/en/products/gps/gps-spoofing-and-jamming-detection

https://gpspatron.com/satellite-gps-galileo-interference-europe/

https://www.jammertest.no/jammertest-2026/

 

 

 

 

 

 

 

 

GNSS Interference vom Weltraum - Teil 2

GNSS-Störungen kommen nicht nur vom Boden: Was aktuelle Beobachtungen für resiliente Navigation bedeuten

Wenn von GNSS-Jamming die Rede ist, entsteht meist ein vertrautes Bild: Ein Störsender befindet sich am Boden oder in einem Fahrzeug und überlagert die schwachen Signale von GPS, Galileo und anderen Satellitennavigationssystemen.

Eine aktuelle Beobachtung unseres Partners GPSPATRON zeigt, warum dieses Bild zu eng gefasst ist. Im September 2026 registrierte ein Netzwerk unabhängiger GNSS-Messstationen in Europa nahezu gleichzeitig eine ungewöhnliche Interferenz im Bereich der GPS- und Galileo-Frequenzen. Die Analyse deutet darauf hin, dass die störende Aussendung aus dem Weltraum kam.

Das ist zunächst ungewöhnlich. Für die Frage, wie ein GNSS-Empfänger mit einer Störung umgehen kann, ist ihre geografische Herkunft jedoch nur ein Teil des Problems.

Was wurde beobachtet?

Am 3. September 2026 gegen 09:10 UTC registrierte das europäische Monitoring-Netzwerk von GPSPATRON an räumlich weit voneinander entfernten Standorten nahezu gleichzeitig eine kurzzeitige Verschlechterung des GNSS-Empfangs.

Betroffen waren sowohl GPS als auch Galileo. An den Messstationen sank das Carrier-to-Noise-Verhältnis (C/N₀) je nach Standort und Empfänger um etwa 2 bis 5 dB-Hz.

Die Beobachtung erfolgte über unterschiedliche Messsysteme hinweg, darunter RTK-Stationen, Septentrio-Empfänger und spezielle GNSS-Interferenzsensoren. Zusätzlich wurden Rohdaten des Hochfrequenzsignals aufgezeichnet.

GPSPATRON identifizierte eine Aussendung mit einer Mittenfrequenz von ungefähr 1577,5 MHz und einer Bandbreite von rund 2,46 MHz. Aufgrund der großräumigen und nahezu zeitgleichen Beobachtung sowie weiterer Signaleigenschaften kommt die Analyse zu dem Schluss, dass die Aussendung weltraumbasiert war.

Wichtig ist allerdings die Unterscheidung zwischen Interferenz und absichtlichem Jamming.

Dass eine Aussendung GNSS beeinträchtigt, bedeutet nicht automatisch, dass sie zu diesem Zweck erzeugt wurde. GPSPATRON weist ausdrücklich darauf hin, dass die Ursache beziehungsweise Funktion des beobachteten Signals bislang nicht abschließend geklärt ist. Möglich sind beispielsweise andere Satellitenfunktionen, Testsignale oder unbeabsichtigte Emissionen.

Warum die Richtung einer Störung nicht die ganze Geschichte erzählt

GNSS-Signale erreichen die Erdoberfläche mit sehr geringer Leistung. Deshalb können zusätzliche Hochfrequenzsignale in oder nahe den verwendeten Frequenzbändern den Empfang beeinträchtigen.

Aus Sicht eines GNSS-Empfängers ist dabei zunächst entscheidend, welches Signal an seiner Antenne ankommt.

Wichtige Parameter sind unter anderem:

  • Frequenz und Bandbreite der Interferenz

  • Signalstärke im Verhältnis zum GNSS-Signal

  • zeitliches Verhalten

  • Modulation und Signalstruktur

  • betroffene GNSS-Bänder

Ob die verursachende Quelle am Boden, auf einer fliegenden Plattform oder im Weltraum liegt, ändert diese grundlegende Situation nicht.

Das bedeutet allerdings nicht, dass die Richtung bedeutungslos wäre.

Bei räumlichen Anti-Jam-Verfahren – beispielsweise Controlled Reception Pattern Antennas (CRPA), Beamforming oder Null-Steering – spielt die Einfallsrichtung eine zentrale Rolle. Solche Systeme versuchen, Signale aus bestimmten Richtungen gezielt abzuschwächen.

Receiverseitige Verfahren verfolgen dagegen einen anderen Ansatz. Sie analysieren und bearbeiten das empfangene Signal selbst und können bestimmte Interferenzformen beispielsweise im Frequenz- oder Zeitbereich erkennen und unterdrücken.

Beide Ansätze ergänzen sich, lösen aber unterschiedliche Teile des Problems.

Was Jammertest 2026 dazu zeigt

Nahezu zeitgleich mit der Beobachtung von GPSPATRON wurden beim Jammertest 2026 auf Andøya in Norwegen GNSS-Empfänger und PNT-Systeme unter kontrollierten realen Jamming- und Spoofing-Szenarien getestet.

Septentrio veröffentlichte anschließend erste Ergebnisse seiner AIM+-Interferenzmitigation. Unter anderem wurde das Verhalten bei starken Chirp-Störsignalen untersucht. Die veröffentlichten Ergebnisse zeigen, dass moderne Signalverarbeitung die Auswirkungen bestimmter Störsignale erheblich reduzieren und damit die Verfügbarkeit der GNSS-Lösung verbessern kann.

Auch Spoofing – also die gezielte Übertragung manipulierter GNSS-ähnlicher Signale – war Bestandteil der Versuche.

Die Ergebnisse sind für die Entwicklung resilienter Navigation interessant, sollten aber nicht überinterpretiert werden: Ein erfolgreicher Test gegen einen bestimmten Jammer beweist keine allgemeine Immunität gegenüber beliebigen Störungen.

Insbesondere wurde beim Jammertest nicht das von GPSPATRON beobachtete weltraumbasierte Signal reproduziert.

Die Verbindung zwischen beiden Ereignissen ist daher technischer Natur, nicht experimenteller: Sie zeigen unterschiedliche Seiten desselben Problems.

Detection und Mitigation sind zwei verschiedene Aufgaben

Die beiden aktuellen Entwicklungen verdeutlichen außerdem eine wichtige Unterscheidung.

Interferenzerkennung beantwortet Fragen wie:

Ist das GNSS-Spektrum gestört? Welche Frequenzen sind betroffen? Wie stark ist die Störung? Handelt es sich möglicherweise um Jamming oder Spoofing? Wann und wo tritt sie auf?

Interferenzmitigation versucht dagegen, die Auswirkungen einer vorhandenen Störung auf die Navigation zu reduzieren.

Ein System kann eine Störung sehr gut erkennen und trotzdem seine GNSS-Position verlieren. Umgekehrt kann ein Receiver bestimmte Interferenzen erfolgreich unterdrücken, ohne dass der Betreiber ein vollständiges Bild davon erhält, was im elektromagnetischen Umfeld passiert.

Für sicherheitskritische und autonome Systeme sind deshalb beide Fähigkeiten relevant.

Resilientes PNT ist mehr als ein robuster GNSS-Empfänger

Die aktuellen Beobachtungen zeigen vor allem, warum resiliente Positionierung, Navigation und Zeitbestimmung – kurz PNT – als Gesamtsystem betrachtet werden sollte.

Ein moderner GNSS-Empfänger mit Interferenzmitigation ist dabei eine wichtige Verteidigungslinie. Er kann die Wahrscheinlichkeit erhöhen, dass GNSS auch unter schwierigen RF-Bedingungen weiter nutzbar bleibt.

Er kann jedoch nicht garantieren, dass GNSS unter allen Umständen verfügbar oder vertrauenswürdig ist.

Deshalb kombinieren resiliente PNT-Architekturen mehrere Ebenen:

Detect → Mitigate → Assess Integrity → Continue Navigation

Eine Störung wird erkannt und charakterisiert. Der GNSS-Empfänger versucht, ihre Auswirkungen zu reduzieren. Gleichzeitig muss bewertet werden, ob die resultierende Position noch vertrauenswürdig ist. Falls GNSS nicht mehr ausreichend verfügbar oder integer ist, müssen weitere Sensoren oder Navigationsquellen die Navigation unterstützen oder zeitweise übernehmen.

Für autonome Fahrzeuge, UAVs und andere unbemannte Systeme ist dieser letzte Punkt besonders wichtig. Ein autonomes System muss nicht nur eine Position berechnen können. Es muss auch erkennen können, wann es dieser Position nicht mehr vertrauen sollte.

Von der Störquelle zur Systemresilienz

Die Beobachtung einer weltraumbasierten GNSS-Interferenz erweitert damit vor allem unseren Blick auf das Problem.

GNSS-Störungen müssen nicht dem klassischen Szenario eines bodengebundenen Jammers entsprechen. Sie können unterschiedliche Ursachen, Signalformen und Einfallsrichtungen besitzen – und sie müssen nicht einmal absichtlich gegen GNSS gerichtet sein, um dessen Verfügbarkeit zu beeinträchtigen.

Für die Entwicklung resilienter Navigationssysteme folgt daraus eine einfache, aber wichtige Konsequenz:

Es reicht nicht aus, sich auf eine bestimmte Art oder Herkunft der Störung vorzubereiten.

Robuste Systeme benötigen eine Kombination aus Überwachung des GNSS- und RF-Umfelds, receiverseitiger Interferenzmitigation, Integritätsbewertung und zusätzlichen Navigationsquellen.

Die entscheidende Frage lautet deshalb nicht nur:

Woher kommt die Störung?

Sondern auch:

Kann das System sie erkennen, ihre Auswirkungen begrenzen und weiterhin zuverlässig bestimmen, wo es sich befindet – und wie vertrauenswürdig diese Information noch ist?

Quellen und weiterführende Informationen

Contact: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.

https://www.hensec.com/en/component/content/article/regina-air-3?catid=22

https://www.hensec.com/en/products/gps/gps-spoofing-and-jamming-detection

https://gpspatron.com/satellite-gps-galileo-interference-europe/

https://www.jammertest.no/jammertest-2026/

 

 

 

 

 

 

 

 

hensec Takes Maritime Intelligence to the Skies: aisvogel Combines RF, Positioning and Sensor Data

hensec Takes Maritime Intelligence to the Skies: aisvogel Combines RF, Positioning and Sensor Data

  • aisvogel: A Bird’s-Eye View of AIS (Automatic Identification System) Data and More

  • Applications Include Offshore Facilities, Cable Corridors, Energy Infrastructure and Sensitive Maritime Areas

  • Airborne Sensor Platform Cross-Checks AIS Positions Against Independent Observations, Investigates RF and GNSS Anomalies and Combines Multiple Data Sources into a Maritime Situational Picture

Karlsruhe, Germany, October 7, 2026 – An electronically reported vessel position is, first and foremost, a data point. Determining whether a vessel is actually at that location becomes more reliable when additional, independent information is available. This is precisely where aisvogel from hensec secure solutions comes in. The airborne sensor platform collects RF, positioning, movement and optical data directly over the maritime area of operation and combines it into a common situational picture.

aisvogel can monitor large maritime areas for many hours, detect unusual signals and movement patterns and, when required, be deployed specifically to locations of interest. In response to alerts or suspicious activity, the platform can launch automatically, fly to the relevant area and use its sensors to verify the situation on site. Subject to the appropriate authorization, such missions can also be conducted Beyond Visual Line of Sight (BVLOS). Depending on the mission, the platform can be equipped with RF (radio frequency), AIS (Automatic Identification System), EO/IR (electro-optical/infrared), GNSS (Global Navigation Satellite System) and communications systems. This allows different types of information not only to be collected, but also correlated in time and space, cross-checked and assessed.

“A reliable maritime situational picture requires more than looking at individual data sources in isolation,” said Kevin Heneka, Managing Director of hensec secure solutions. “What matters is where the information comes together: Does the reported position match what is actually observed? Can a suspicious RF emission be geographically narrowed down? And do the different sensors together provide a coherent picture? These are exactly the kinds of tasks we developed aisvogel to address.”

When the Reported Position Does Not Match the Observation

A key application for aisvogel is the verification of AIS data. AIS automatically broadcasts information from vessels including their identity, position, course and speed. The platform receives AIS information, analyzes vessel movements and cross-checks reported positions against additional observations. Camera and EO/IR sensors can independently confirm a contact and compare electronically reported position data with what is actually observed.

When AIS, GNSS or other positioning information is correlated with a detected contact, discrepancies in location become visible. Suspicious position jumps, implausible tracks or potential spoofing incidents can then be prioritized and investigated in greater detail.

At the same time, the platform can detect relevant RF activity and classify suspicious or unknown radio signals in terms of their location and timing. In the GNSS domain, aisvogel can be used to investigate anomalies as well as potential jamming or spoofing events in maritime environments. The platform itself is equipped with GPS-jamming-resilient navigation systems, enabling it to navigate even in environments affected by interference.

The different sources of information feed into a dynamic common situational picture. Discrepancies between signals, movements and observed positions become visible and can be assessed for their operational relevance. For maritime security, this cross-checking of independent information sources is particularly important for reliably assessing anomalies and investigating them further when necessary.

Mobile Sensor Capabilities for Maritime Operations

The CarryAir platform on which aisvogel is based combines the efficiency of a fixed-wing aircraft with the flexibility of a VTOL system. In practical terms, the aircraft takes off and lands vertically like a helicopter, while offering the endurance and efficiency of an airplane in forward flight. With its hybrid propulsion system, flight times of up to ten hours are possible. The platform has a wingspan of just under three meters and offers a payload capacity of up to seven kilograms, with 60 liters of protected payload volume. Six dedicated lift rotors enable vertical takeoff and landing while also providing redundancy.

The sensor configuration can be tailored to the individual mission. RF, AIS, EO/IR, GNSS and communications systems can be integrated, allowing the platform to be adapted to different operational areas, sensor packages and mission profiles. As an unmanned sensor platform, aisvogel is also significantly more cost-effective to operate than helicopters or crewed aircraft, particularly for prolonged or recurring surveillance missions.

Potential applications include long-duration mobile monitoring of vessel traffic, shipping routes and defined areas of operation. In addition, aisvogel can cross-check electronically reported positions and identities against independent airborne observations, investigate unusual RF activity, and detect and geographically investigate potential GNSS jamming and spoofing events in coastal and offshore areas.

The platform is also designed for mobile monitoring of critical maritime infrastructure. Potential applications identified by hensec include offshore facilities, cable corridors, energy infrastructure and sensitive maritime areas. This enables aisvogel to support maritime security across larger areas at sea as well as the targeted protection of particularly sensitive infrastructure. aisvogel is developed and manufactured in Germany, with its entire supply chain located within the European Union.

Multiple Platforms Working Together

One of aisvogel’s key capabilities is the cooperative deployment of multiple airborne platforms. Multiple drones operating from geographically separated positions can observe the same signal from different locations and jointly evaluate their measurements.

With the appropriate sensor configuration, this setup enables cooperative direction-finding and geolocation. Multiple platforms provide different lines of bearing that can be used to geographically narrow down the source of a suspicious emission. At the same time, additional platforms can monitor the surrounding maritime area or optically verify a contact.

A Bird’s-Eye View as a Key Advantage in Maritime Surveillance

“Mobility is a crucial advantage at sea,” explains Heneka. “Instead of relying solely on what can be detected from a fixed location, we bring the sensors directly over the area of operation to provide a comprehensive bird’s-eye view. And when multiple platforms work together, we can examine a suspicious situation from different positions and combine the information they collect.”

The mission workflow follows a consistent principle: Sensor data is first collected and then correlated in time and space, while anomalies are classified and prioritized. Electronic information can subsequently be cross-checked against optical observations or other independent sensor data. Suspicious contacts and signal sources can then be investigated in greater detail and geographically narrowed down through the cooperative use of multiple platforms.

For more information about aisvogel, purchasing the platform or deployment options through a rental service, please contact hensec secure solutions at Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein..



 

 

 

 

Jammertest 2026: From GNSS Resilience to PNT Awareness

What real-world jamming and spoofing tests tell us about the future of resilient Positioning, Navigation and Timing

For five days in September, the island of Andøya in northern Norway once again became one of the world's most unusual test environments for satellite navigation. At Jammertest 2026, navigation, timing and communication systems were deliberately exposed to controlled GNSS jamming, meaconing and spoofing under real-world conditions. The authorised tests covered both position and time manipulation and were designed to investigate not only whether equipment would lose GNSS, but also how systems would behave when receiving misleading information.

What started only a few years ago as a comparatively specialised field-testing initiative has developed into a major meeting point for the international PNT community. Authorities, research organisations, receiver and antenna manufacturers, application developers and users now come to Andøya to expose their technologies to conditions that are difficult to reproduce completely in a laboratory. The increasing scale of Jammertest reflects a broader development: reliable GNSS can no longer simply be assumed.

But perhaps the more interesting observation from Jammertest 2026 is that the industry's understanding ofGNSS resilience itself is changing. The challenge is no longer only to keep a receiver operational when interference occurs. Increasingly, resilient PNT means protecting reception where possible, detecting interference and manipulation, assessing whether position and time can still be trusted, and making this information available to the systems that depend on GNSS.

Resilient PNT is evolving from a component-level challenge into a system-level discipline.

From 2022 to 2026: The Rise of Real-World PNT Testing

The first major Jammertest on Andøya took place in September 2022. Already then, the event offered something that conventional laboratory testing cannot fully reproduce: complete systems could move through genuine over-the-air jamming and spoofing fields while their behaviour was observed and recorded.

One of the participants at that first event wasGPSPatron, a hensec technology partner. GPSPatron deployed three GP-Probe TGE2 monitoring stations within the test area and another probe at a nearby reference location. Data was transmitted in real time to GP-Cloud, enabling interference events to be detected, recorded and analysed. According to GPSPatron's published report, its system detected all spoofing scenarios to which it was exposed. The tests also produced some striking observations, including a mobile receiver showing a position displacement of approximately 20 kilometres during one jamming scenario and the detection of unintended spoofing-signal leakage during preparations for another test.

Those experiments demonstrated an important principle at a relatively early stage:interference itself can be valuable information. Knowing that GNSS is being disturbed – and understanding when, where and how – can be just as important as attempting to maintain a navigation solution.

Four years later, this idea is increasingly visible across the PNT community. Jammertest is no longer simply about comparing how long different GNSS receivers retain a position fix. Current test programmes address resilient antennas, receiver-level interference mitigation, spoofing detection, authentication, timing resilience, sensor combinations and the behaviour of complete navigation systems. Kongsberg, for example, used Jammertest 2026 to evaluate different combinations of CRPA antennas and GNSS receivers in its dynamic-positioning reference systems.

Why Real-World Testing Matters

Modern GNSS equipment is extensively evaluated with RF simulators, signal generators and controlled laboratory setups. These environments are essential because tests can be repeated under precisely defined conditions. But the real world introduces additional variables: changing geometry, propagation and reflections, moving platforms, multiple interference sources and interactions between GNSS and other components of the system.

This is why open-air testing has become so valuable. During Jammertest 2026, for example, Kartverket planned to survey the same area from an aircraft both under normal GNSS conditions and during interference, using aerial photography and laser scanning. Known reference points on the ground allow the resulting data to be compared. The experiment is particularly interesting because precise timing is required to associate individual laser measurements with the correct position.

This illustrates a fundamental point: a GNSS receiver can perform extremely well under normal operating conditions and still produce unexpected results when confronted with realistic jamming or spoofing. More importantly, the consequences may propagate beyond the GNSS receiver itself. Position and time are often inputs to other sensors, control systems and databases. A misleading PNT solution can therefore influence an entire processing chain.

For autonomous systems this becomes particularly important. An UAV, UGV or autonomous vessel may combine GNSS with inertial sensors, cameras, LiDAR, radar and other sources of information. GNSS position and time may also be used to georeference the data generated by these sensors.

The relevant question is therefore no longer simply:

Do we still have a GNSS fix?

It increasingly becomes:

Can the system still trust the PNT information it is receiving?

Beyond Position: From GNSS Resilience to Trusted PNT

GNSS is frequently discussed primarily as a positioning technology. Yet the “T” in “PNT” – Time – is equally important. Telecommunications, energy networks, financial systems, data centres, measurement infrastructure and many other applications depend on accurate and trustworthy timing.

Jamming and spoofing also present fundamentally different problems. A jammer attempts to prevent or degrade reception of the extremely weak satellite signals arriving at the Earth's surface. The resulting loss of navigation may be operationally serious, but it is often obvious to the system that GNSS is unavailable.

Spoofing is more subtle. Counterfeit or manipulated signals attempt to convince a receiver that incorrect position or timing information is genuine. A system that recognises the loss of GNSS can switch to alternative sensors or enter an appropriate degraded operating mode. A system confidently operating on a plausible but incorrect position or time presents a much more difficult problem.

The official information for Jammertest 2026 illustrates this distinction particularly well. Norwegian authorities warned that equipment reacts very differently after losing or receiving false position information. Some devices recover automatically when interference ends, others require a restart or even complete removal of power. They also point out that gradual manipulation of position or time can be particularly difficult to recognise because a receiver can first be presented with nearly correct information and then slowly moved away from reality.

This is one reason why resilient PNT increasingly requires several complementary protection mechanisms rather than a single “anti-jamming” feature.

Galileo SAS: A Major Step Against Spoofing

One of the most significant technical milestones of Jammertest 2026 came from Galileo.

On 16 September, five operational Galileo satellites transmitted a new encrypted signal component over Europe for two hours. Receivers at Andøya and at ESA's ESTEC navigation laboratory in the Netherlands successfully used these signals to establish their position. According to ESA and EUSPA, this represented the first real-world civil GNSS position authenticated through both navigation information and ranging measurements using Galileo's upcomingSignal Authentication Service (SAS) together with OSNMA.

The distinction is important. GNSS positioning fundamentally depends on navigation information transmitted by the satellites and on measurements of signal travel time used to determine range. Galileo'sOpen Service Navigation Message Authentication (OSNMA), operational since 2025, enables compatible receivers to verify that the navigation message originates from Galileo. SAS complements this by authenticating the ranging information itself through an encrypted component of the Galileo E6-C signal.

During the Jammertest demonstration, conventional receivers exposed to spoofing reported false positions, while the SAS receiver detected the attack and maintained a trusted position based on authenticated Galileo signals, according to EUSPA's account of the test. Further SAS testing and validation are planned as Galileo works towards initial service.

This is an important step towards trusted civil PNT, but it also demonstrates why terminology matters:

Jamming resilience is not the same as spoofing resilience – and neither alone guarantees trusted PNT.

Authentication adds another layer to the architecture.

A Layered Approach to Resilient PNT

Taken together, the developments visible at Jammertest increasingly point towards a layered approach.

At the antenna and RF level, resilient antenna technology can reduce the impact of interference before affected signals reach the GNSS receiver. At receiver level, interference detection and mitigation algorithms can recognise abnormal RF conditions and attempt to maintain reliable navigation. Multi-band and multi-constellation reception provides additional diversity, while authentication mechanisms such as Galileo OSNMA and SAS address the question of whether navigation information and ranging signals originate from a trusted source.

Additional sensors can provide independent information for plausibility checks and continued navigation. Above these individual layers sits another increasingly important capability:situational awareness. Interference indicators, signal-quality information, spoofing warnings and integrity information become useful inputs to the complete system rather than remaining hidden inside the GNSS receiver.

This development is also visible in current receiver technology. Septentrio's published results from Jammertest 2025, for example, concluded that effective spoofing protection benefits from several mechanisms working together and highlighted the importance of providing a spoofing status for situational awareness. Its approach combines multi-frequency operation, interference mitigation, anomaly detection and Galileo OSNMA, among other mechanisms.

The implications extend well beyond an individual receiver. A flight controller, navigation computer, timing system or monitoring platform can make better decisions when it not only receives position and time, but also has information about the conditions under which that PNT solution was generated.

From Interference Detection to Interference Intelligence

This broader system perspective also changes the role of interference detection. Traditionally, interference could simply be regarded as something to suppress. Increasingly, however, it is also something tomeasure, record and understand.

An interference event has characteristics: when it occurred, where it was observed, which frequencies were affected, how strong it was, how long it lasted and, with suitable equipment, potentially where it came from. When such observations are collected over time or across multiple sensors, interference detection begins to becomeinterference intelligence.

A stationary installation can continuously monitor the GNSS environment around critical infrastructure. A distributed network can provide visibility across multiple sites. A moving vehicle, vessel or UAV can combine its position with interference observations and thereby contribute to understanding the spatial characteristics of a disturbance.

This is particularly relevant for autonomous systems. The same platform can simultaneously be auser of PNT and a sensor of the RF environment through which it moves. Instead of treating GNSS interference merely as an internal receiver problem, information about the interference can be made available to flight control, mission systems, logging infrastructure or external monitoring platforms.

For hensec, this development is particularly interesting because it reflects principles that have shaped our work in GNSS resilience and interference detection for several years. GPSPatron's participation in the first major Andøya Jammertest in 2022 is one example: detection, monitoring, logging and analysis of real interference were already central elements of that work.

Today, the broader technology landscape increasingly combines those concepts with resilient antenna technology, advanced receiver-level mitigation, authentication, sensor fusion and system-level monitoring. At hensec, we work with technologies from companies includingCalian, Septentrio and GPSPatron, while also developing integrated approaches for resilient navigation and interference awareness.

This does not mean that one architecture fits every application. A stationary timing installation has different requirements from an autonomous UAV; a critical-infrastructure monitoring network faces different challenges from a survey vehicle or research platform.

But the underlying direction is becoming increasingly clear:

Protect where possible. Detect when necessary. Understand what is happening. And ensure that systems relying on PNT know when that information can – or cannot – be trusted.

What Jammertest 2026 Tells Us About the Future

Jammertest 2026 ended on 18 September, but its technical story is not finished. Many participating organisations collected large amounts of data during the five days of testing, and detailed receiver, antenna and system results require time to analyse. It is therefore important to distinguish between already documented technical results and conclusions that will emerge over the coming weeks and months.

The Galileo SAS demonstration is already a concrete and documented milestone. Other manufacturers and participants have described their test programmes and initial observations, while detailed quantitative 2026 results have in many cases not yet been made public. That is normal for an event of this kind: some of the most valuable findings only emerge after large datasets have been analysed and compared.

The longer-term impact may extend beyond this year's participants. Real-world interference captured at events such as Jammertest can potentially help bridge the gap between open-air testing and repeatable laboratory development. That matters because resilient PNT will increasingly depend on both: controlled, repeatable engineering tests and exposure to the complexity of real RF environments.

Perhaps the most important lesson, however, is broader than any individual receiver, antenna or authentication service. The developments seen on Andøya suggest thatPNT resilience is becoming a property of the complete system. Maintaining a position fix remains important, but it is only one part of the problem. Systems increasingly need to recognise interference, assess integrity, combine multiple sources of information and communicate uncertainty to the applications that depend on PNT.

And there is another aspect of Jammertest that deserves recognition. Creating an environment in which GNSS can deliberately be jammed and spoofed at meaningful levels is technically, operationally and legally difficult. Bringing authorities, researchers, GNSS manufacturers, antenna specialists, application developers and users together in such an environment is an achievement in itself. Jammertest provides a rare opportunity for systems to fail safely, unexpected behaviour to be investigated and knowledge to be shared across organisational boundaries.

A sincere thank you to the organisers, authorities, engineers, researchers and participating companies who made Jammertest 2026 possible. Bringing such a diverse community together to test, learn and improve under realistic conditions should not be taken for granted.

As our dependence on satellite-based positioning, navigation and timing continues to grow, this combination of technical innovation, real-world testing and open collaboration will be essential to making PNT more resilient for everyone.

 

 

Resilient Navigation for Autonomous Systems

When GNSS Can No Longer Be Taken for Granted – Resilient Navigation for Autonomous Systems

GNSS resilience is moving into focus

From 14 to 18 September 2026, GNSS manufacturers, researchers and system developers from around the world will meet again at Jammertest 2026 on Andøya, Norway. Under controlled real-world conditions, positioning and navigation systems will be exposed to GNSS jamming, meaconing and spoofing.

Events such as Jammertest illustrate a development that is becoming increasingly relevant for autonomous systems: reliable GNSS reception can no longer be taken for granted.

For UAVs and other autonomous platforms, this raises an important question: How should a navigation system respond when the RF environment itself becomes unreliable?

This is precisely the question behind the development of hensec REGINA-AIR.

With REGINA-Air, hensec introduces a compact solution combining resilient GNSS navigation with real-time interference awareness

Satellite navigation has become a fundamental part of many autonomous systems. UAVs, unmanned ground vehicles and mobile robots rely on GNSS for much more than determining their position. Position, velocity and precise timing information feed directly into navigation, flight control, mission planning and the georeferencing of sensor data.

This also makes GNSS a critical part of the overall system.

In an interference-free environment, this is usually unproblematic. In real-world operations, however, GNSS reception can be affected by other radio systems, unintentional emissions or deliberate jamming. Because satellite signals arrive at the receiver at extremely low power levels, even relatively modest interference can have a significant impact on GNSS performance.

For autonomous systems, the relevant question is therefore no longer simply how accurately a GNSS solution performs under ideal conditions, but how reliably it can operate in a challenging RF environment.

Resilience Has to Start Before the Receiver

A high-performance GNSS receiver is only one part of the solution.

Strong interference first reaches the antenna and RF signal path. If this part of the system is already overloaded or severely affected, subsequent signal-processing techniques can only do so much. Conversely, a resilient antenna alone is not sufficient if the receiver cannot effectively process the remaining satellite signals and mitigate interference.

With REGINA-Air, Hensec therefore follows a multi-layer approach.

The system combines jamming-resilient antenna technology from Calian with an advanced Septentrio GNSS receiver and a compact electronics and interface platform developed by Hensec.

Resilience starts at the RF input and continues at receiver level. Rather than relying on a single “anti-jamming” feature, the objective is to create a robust GNSS signal chain as an integrated system.

From GNSS Receiver to Integrated Navigation Module

For UAV applications in particular, GNSS performance alone is not enough. Size, weight, power supply, interfaces and software integration all determine whether a technology can be used effectively in a real platform.

REGINA-Air was therefore not developed as a loose combination of individual components.

The GNSS receiver is integrated into compact Hensec electronics that provide the navigation and status information required by the autonomous system in real time. This includes position, velocity and timing information. Via DroneCAN, the data can be provided directly to systems based on ArduPilot or PX4.

This moves a significant part of the integration effort from the system developer into the product itself.

Instead of separately integrating the antenna, GNSS receiver, power supply, interfaces and data communication, developers of autonomous platforms receive a solution designed specifically for this type of application.

Interference Is Valuable Information in Its Own Right

One aspect was particularly important during the development of REGINA-Air.

In a conventional GNSS installation, the primary interest is usually the navigation result. As long as a valid position is available, the RF environment itself often remains largely invisible to the higher-level system.

For an autonomous platform, however, this information can be highly valuable.

REGINA-Air therefore does not use information about detected GNSS interference solely for internal signal processing. Information about interference events can also be provided digitally to the host system.

The GNSS system effectively becomes a sensor for the local GNSS interference environment.

This opens up applications that go beyond improving navigation robustness. During a mission, for example, a UAV can detect interference and record it together with position and time. Interference events can then be georeferenced, logged and analysed after the mission.

With appropriate processing, this data can be used for mobile measurements or to create georeferenced representations of the GNSS interference environment.

Navigation and Situational Awareness Come Together

This combination is particularly relevant for autonomous systems.

The platform can not only attempt to maintain navigation under challenging conditions, but can simultaneously obtain information indicating that its electromagnetic environment has changed.

This information can be logged, transmitted to a ground station or made available to higher-level functions within the autonomous platform.

It adds another dimension to situational awareness. The relevant question is no longer only:

“Where am I?”

but also:

“Under what GNSS conditions am I currently operating?”

This is an important distinction between a conventional GNSS receiver and the system approach behind REGINA-Air.

Developed from Real UAV Requirements

REGINA-Air originated from specific requirements in the UAV environment. The challenge was not simply to combine different technologies, but to integrate them into a compact unit that could be used practically within an autonomous platform.

Three core functions emerged from this development:

NAVIGATE. DETECT. ANALYSE.

NAVIGATE represents resilient multi-band, multi-constellation GNSS navigation for demanding RF environments.

DETECT describes the ability to detect GNSS interference onboard and make this information available to the higher-level system in real time.

ANALYSE extends the concept by enabling the resulting data to be used for logging, measurements, georeferenced evaluation and post-mission analysis.

Together, these capabilities turn the GNSS subsystem into an active part of overall system awareness.

Resilient PNT Is Becoming a System-Level Requirement

As autonomy increases, so does the importance of the availability and reliability of positioning, navigation and timing information. At the same time, the electromagnetic environments in which autonomous systems operate are becoming increasingly complex.

For this reason, we believe that GNSS systems should no longer be assessed solely on their accuracy and sensitivity under optimal reception conditions.

Increasingly important is how a system responds to interference, what information it can provide about its own reception environment, and how easily this information can be integrated into the overall architecture of an autonomous platform.

REGINA-Air is Hensec's approach to bringing these requirements together in a compact solution: resilient GNSS navigation, digital interference detection and direct integration into autonomous systems.

Further technical information about REGINA-Air is available on our product page.

https://hensec.com/de/component/content/article/regina-air?catid=9

Further technical information about our Calian Jamming Resilient Antennas is available here::

https://hensec.com/de/produkte/gps/jamming-resiliente-crpa-antennen

 

 

 

 

Resiliente Navigation für autonome Systeme

Wenn GNSS nicht mehr selbstverständlich ist – resiliente Navigation für autonome Systeme

Mit REGINA-AIR verbindet Hensec resiliente GNSS-Navigation mit Echtzeit-Informationen über die lokale Störsituation

Vom 14. bis 18. September treffen sich auf Andøya in Norwegen erneut Hersteller, Forschungseinrichtungen und Systementwickler zum Jammertest 2026. Unter kontrollierten realen Bedingungen werden dort Positionierungs- und Navigationssysteme gezielt mit GNSS-Jamming, Meaconing und Spoofing konfrontiert.

Veranstaltungen wie der Jammertest zeigen, wie stark das Thema resiliente Satellitennavigation inzwischen an Bedeutung gewonnen hat. Denn insbesondere bei UAVs und anderen autonomen Systemen ist GNSS längst nicht mehr nur eine zusätzliche Informationsquelle. Position, Geschwindigkeit und präzise Zeitinformationen fließen unmittelbar in Navigation, Flugregelung, Missionsplanung und die Georeferenzierung von Sensordaten ein.

Damit wird GNSS zugleich zu einem kritischen Bestandteil des Gesamtsystems.

Zuverlässiger GNSS-Empfang kann jedoch nicht unter allen Einsatzbedingungen als selbstverständlich vorausgesetzt werden. Andere Funksysteme, unbeabsichtigte Störaussendungen oder gezieltes Jamming können die Verfügbarkeit und Qualität der Satellitennavigation erheblich beeinträchtigen. Aufgrund der sehr geringen Empfangsleistung der Satellitensignale kann bereits vergleichsweise geringe Störenergie am Empfänger deutliche Auswirkungen haben.

Für autonome Systeme stellt sich deshalb zunehmend nicht nur die Frage, wie genau eine GNSS-Lösung unter idealen Bedingungen arbeitet, sondern wie zuverlässig sie mit einer gestörten HF-Umgebung umgehen kann.

Genau diese Fragestellung war einer der Ausgangspunkte bei der Entwicklung von hensec REGINA-AIR.

Resilienz muss vor dem Empfänger beginnen

Ein leistungsfähiger GNSS-Empfänger ist nur ein Teil der Lösung.

Starke Störsignale treffen zunächst auf die Antenne und den HF-Signalpfad. Ist dieser Bereich bereits überlastet oder stark beeinträchtigt, sind den nachfolgenden Verfahren zur Signalverarbeitung und Störunterdrückung Grenzen gesetzt. Umgekehrt reicht eine störungsresiliente Antenne allein nicht aus, wenn der Empfänger die verbleibenden Satellitensignale und auftretende Interferenzen nicht entsprechend verarbeiten kann.

Hensec verfolgt deshalb mit REGINA-AIR einen mehrstufigen Ansatz.

Das System kombiniert jamming-resiliente Antennentechnologie von Calian mit einem leistungsfähigen Septentrio-GNSS-Empfänger und einer von hensec entwickelten kompakten Elektronik- und Schnittstellenplattform.

Die Resilienz beginnt damit bereits am HF-Eingang und wird auf Empfängerebene fortgesetzt. Im Mittelpunkt steht nicht eine einzelne „Anti-Jamming-Funktion“, sondern ein möglichst robuster GNSS-Signalpfad als Gesamtsystem.

Vom GNSS-Empfänger zum integrierten Navigationsmodul

Gerade bei UAVs ist jedoch nicht nur die GNSS-Leistung entscheidend. Gewicht, Platzbedarf, Stromversorgung, Schnittstellen und Softwareintegration bestimmen wesentlich, ob sich eine Technologie praktisch in eine autonome Plattform integrieren lässt.

REGINA-AIR wurde deshalb nicht als lose Kombination einzelner Komponenten entwickelt.

Der Septentrio GNSS-Empfänger ist in eine kompakte hensec-Elektronik integriert, die die für das autonome System benötigten Navigations- und Statusinformationen in Echtzeit bereitstellt. Dazu gehören Position, Geschwindigkeit und präzise Zeitinformationen. Über DroneCAN können diese Daten direkt an das übergeordnete System beziehungsweise den Flight Controller übertragen werden. Damit verlagert sich ein wesentlicher Teil der Integrationsarbeit vom Anwender in das Produkt selbst. Statt Antenne, GNSS-Empfänger, Spannungsversorgung, Schnittstellen und Datenübertragung jeweils separat zu integrieren, steht eine auf diesen Anwendungsfall abgestimmte Systemlösung zur Verfügung.

Das ist insbesondere bei UAVs und kompakten autonomen Plattformen relevant, bei denen Bauraum, Gewicht und Entwicklungsaufwand eine ebenso wichtige Rolle spielen wie die reine Leistungsfähigkeit der einzelnen Komponenten.

Eine Störung ist selbst eine wertvolle Information

Ein weiterer Aspekt war bei der Entwicklung von REGINA-AIR besonders wichtig.

Bei einer klassischen GNSS-Installation interessiert in erster Linie das Ergebnis der Navigation. Solange eine gültige Position ausgegeben wird, bleibt die aktuelle HF-Situation für das übergeordnete System häufig weitgehend unsichtbar. Für ein autonomes System kann diese Information jedoch von erheblichem Wert sein. REGINA-AIR stellt deshalb Informationen über erkannte GNSS-Interferenzen nicht nur intern für die Signalverarbeitung zur Verfügung. Die entsprechenden Informationen können auch digital an das Host-System weitergegeben werden.

Aus dem GNSS-System wird damit gleichzeitig ein Sensor für die lokale GNSS-Störumgebung.

Das eröffnet Anwendungen, die über die reine Verbesserung der Navigation hinausgehen. Ein UAV kann beispielsweise während eines Fluges auftretende Interferenzen erkennen und gemeinsam mit Position und Zeit erfassen. Störereignisse lassen sich dadurch geografisch zuordnen, protokollieren und anschließend analysieren. Bei entsprechender Verarbeitung können so mobile Messungen oder georeferenzierte Darstellungen der GNSS-Störsituation entstehen.

Navigation und Situational Awareness wachsen zusammen

Für autonome Systeme ist diese Kombination besonders interessant.

Die Plattform kann nicht nur versuchen, ihre Navigation unter erschwerten Bedingungen aufrechtzuerhalten. Sie erhält gleichzeitig Informationen darüber, dass sich die Qualität ihrer elektromagnetischen Umgebung verändert hat.Diese Information kann protokolliert, an eine Bodenstation übertragen oder durch übergeordnete Funktionen der autonomen Plattform berücksichtigt werden. Damit entsteht eine zusätzliche Ebene der Situational Awareness.

Die relevante Frage lautet dann nicht mehr nur: „Wo bin ich?“sondern zusätzlich: „Unter welchen GNSS-Bedingungen befinde ich mich gerade?“

Genau darin liegt ein wesentlicher Unterschied zwischen einem konventionellen GNSS-Empfänger und dem mit REGINA-AIR verfolgten Systemansatz.

Zwei Datenströme – ein System

Technisch betrachtet stellt REGINA-AIR zwei unterschiedliche Arten von Informationen zur Verfügung:

Auf der einen Seite stehen die klassischen PNT-Daten – Position, Navigation und Zeit – für die unmittelbare Nutzung durch das autonome System.
Auf der anderen Seite stehen Informationen über die GNSS-Störsituation, die für Monitoring, Logging und weiterführende Analysen genutzt werden können.

Beide Informationswelten entstehen innerhalb desselben Systems und können der übergeordneten Plattform in Echtzeit zur Verfügung gestellt werden.

 

Damit lässt sich die Funktion von REGINA-AIR auf drei Aufgaben zusammenfassen:

NAVIGATE.

Resiliente Multi-Band- und Multi-Constellation-GNSS-Navigation für anspruchsvolle HF-Umgebungen.

DETECT.

Erkennung von GNSS-Interferenzen an Bord und digitale Bereitstellung der entsprechenden Informationen in Echtzeit.

ANALYSE.

Nutzung der gewonnenen Daten für Monitoring, Logging, Messungen, georeferenzierte Auswertungen und Post-Mission-Analysen. Die Kombination dieser Funktionen macht die GNSS-Komponente zu einem aktiven Bestandteil der Systemüberwachung.

 

Entwickelt aus Anforderungen der UAV-Praxis

REGINA-AIR entstand aus konkreten Anforderungen im UAV-Umfeld.

Die Herausforderung bestand darin, unterschiedliche Technologien nicht nur miteinander zu kombinieren, sondern sie so zu integrieren, dass daraus eine kompakte und praktisch nutzbare Einheit für autonome Plattformen entsteht. Dazu gehört auch die direkte Anbindung an bestehende Systemarchitekturen. Durch die Bereitstellung der Navigations- und Interferenzinformationen über DroneCAN kann REGINA-AIR unmittelbar in entsprechende UAV- und Autopilot-Umgebungen eingebunden werden.

Der Ansatz ist jedoch nicht auf UAVs beschränkt. Auch bei UGVs, mobilen Robotiksystemen, Messplattformen und anderen autonomen Anwendungen stellt sich zunehmend dieselbe Frage: Wie lässt sich zuverlässige PNT mit Informationen über die Qualität der zugrunde liegenden GNSS-Umgebung verbinden?

Resiliente PNT wird zur Systemaufgabe

Der Jammertest in Norwegen macht diese Entwicklung auf besondere Weise sichtbar: Die Robustheit von GNSS- und PNT-Systemen wird zunehmend nicht nur im Labor, sondern unter kontrollierten realen Störbedingungen untersucht.

Für die Entwicklung autonomer Systeme ist das von großer Bedeutung. Mit zunehmender Autonomie steigt die Abhängigkeit von der Verfügbarkeit und Verlässlichkeit von Positionierungs-, Navigations- und Zeitinformationen. Gleichzeitig werden die elektromagnetischen Umgebungen, in denen solche Systeme eingesetzt werden, nicht einfacher.

Aus unserer Sicht reicht es deshalb langfristig nicht aus, GNSS ausschließlich anhand von Genauigkeit und Empfindlichkeit unter optimalen Empfangsbedingungen zu beurteilen.

Ebenso relevant ist, wie ein System auf Störungen reagiert, welche Informationen es über seine eigene Empfangssituation bereitstellt und wie einfach diese Informationen in die Gesamtarchitektur einer autonomen Plattform eingebunden werden können.

REGINA-AIR ist unser Ansatz, diese Anforderungen in einer kompakten Systemlösung zusammenzuführen: resiliente GNSS-Navigation, digitale Interferenzerkennung und direkte Integration in autonome Systeme.

Weitere technische Informationen zu REGINA-AIR finden Sie auf unserer Produktseite.

https://hensec.com/de/component/content/article/regina-air?catid=9

Weitere technische Informationen zu unseren Jamming resilienten Calian Antennentechnologien finden Sie hier:

https://hensec.com/de/produkte/gps/jamming-resiliente-crpa-antennen