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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 This email address is being protected from spambots. You need JavaScript enabled to view it..



 

 

 

 

GNSS, Jammer, Spoofer, spoofing, Septentrio, Calian

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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: This email address is being protected from spambots. You need JavaScript enabled to view it.

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, Jammer, Spoofer, spoofing, Septentrio, Calian

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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 of GNSS 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 was GPSPatron, 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 upcoming Signal 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's Open 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 to measure, 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 become interference 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 a user 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 including Calian, 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 that PNT 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.

 

 

GNSS, Jammer, Spoofer, spoofing, Septentrio, Calian

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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, Jammer, Spoofer, spoofing, Septentrio, Calian

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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

 

 

 

 

GNSS, Jammer, Spoofer, spoofing, Septentrio, Calian

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