The Spirent PNT X. (Photo: Spirent Federal Systems)

Developers and manufacturers of GNSS receivers have always needed to simulate the signals from GNSS satellites to test receivers in their labs and in the field. Now, as the vital role of GNSS for critical infrastructure and the growing threat of radiofrequency attacks are increasingly recognized, simulators must keep up. In particular, they must enable users to test a variety of new positioning, navigation and timing (PNT)  signals from satellites in low-Earth orbit (LEO) and geostationary orbit (GEO), as well as realistically simulate sophisticated jamming and spoofing attacks.

In this cover story on simulators, we discuss these challenges with experts at four simulator manufacturers:

• John Clark, Vice President, Engineering, CAST Navigation
• Lisa Perdue, Product Line Director, Safran Federal Systems
• Jan Ackermann, Director Product Line Management, Spirent Communications, and Paul Crampton, Senior Solutions Architect, Spirent Federal Systems
• Avag Tsaturyan, Systems Engineer, M3 Systems.

How are the missions/applications of simulators changing?

Clark: Our customers have been requesting larger simulation systems that can support GNSS and inertial navigation systems (INS) on multiple vehicles simultaneously. Each vehicle is required to support a phased-array (CRPA) antenna sub-system, multiple INS interfaces and signal interference capabilities. This is a change from earlier times when our customers required smaller systems with less capability.

Perdue: We see a growing focus on testing NAVWAR scenarios and assessing receiver performance against diverse threats. The increasing complexity of receivers with multiple constellations and frequencies demands more advanced simulation capabilities. We provide comprehensive PNT simulators that support hybrid scenarios, in which simulated signals and threats are combined with live signals and sensors, creating a dynamic and realistic testing environment.

Crampton: For many years, simulators have been used to prove the capability of receivers and the systems into which the receivers are integrated. Testing ensures that receivers can perform as expected, including performance in boundary cases, which are tricky to recreate in live-sky conditions.

Over time, threats to navigation and timing performance began to dominate the schedules of test labs. Ensuring reliable performance in suboptimal operating environments is critical to receiver users. The workload of test labs has increased to the point where test automation has become necessary, not only in terms of increased efficiency but also just to keep pace with rapidly evolving threat profiles.

So, one of the main changes we are seeing is the need to speed up the innovation cycle with simplified, automated testing while maintaining test fidelity and robustness. Spirent simulators are enabling testing to “shift left,” to start testing earlier in the development cycle with digital twins — software-only models of receivers and devices — to shorten the time spent on R&D.

Ackermann: Increasing efficiency, flexibility and realism have been critical drivers in the simulator industry for many years and will continue to drive us forward at an ever-increasing pace. Precision and robustness requirements demand more signals and sensor fusion, which need to be supported by simulators. Greater realism and flexibility means that more representative testing can be done in the lab, saving time and money.

On the other hand, while lab testing has grown ever more realistic, there are times where in-field verification is required — simulators have had to become more flexible to address this “augmented reality” test environment and optimize field testing. Simulators are being used on ranges to enhance testing, using combinations of real and simulated signals — including resiliency tests that incorporate live-sky signals.

Are new markets for simulators emerging?

Clark: Yes, as the world evolves and circumstances change, the ability to validate proper operations of GNSS and GNSS/INS navigation systems under less-than-optimal conditions has become challenging. The use of simulators can greatly enhance your understanding of the behavior of a navigation system, thus allowing for more reliable navigation error planning and mitigation when these errors do occur. This has become a much more important area of concern as the automated navigation and integrated navigation markets mature.

Perdue: Yes, new markets are emerging in areas such as autonomous vehicles, UAV swarms, urban air mobility and space exploration, including lunar missions. Additionally, the growing focus on cybersecurity and electronic warfare has increased the demand for simulators that can replicate complex cyberattack scenarios and electronic threats.

Ackermann: New markets for simulators are constantly emerging. As PNT impacts more and more areas of our lives, the geographic and technological spread of simulator requirements continues to expand. Even in existing segments we see new market needs. In automotive, for instance, the emergence of a wide range of safety-critical functions such as intelligent speed assist (ISA) and eCall drive new simulation needs.

From the emergence of the LEO market to the development of LEO PNT constellations, these markets appear and evolve at a rapid pace. Spirent simulators can be used to generate novel and established signals from LEO PNT constellations with ultra-realistic orbital models for complex rotational effects and satellite parameters. The emerging focus on lunar missions from space agencies around the world means new test environments, more stringent requirements, and the potential for new signals outside of L-band, at S-band and beyond.

Crampton: Increasing the realism of testing continues to open new opportunities for simulator use. Spirent provides an all-in-one alternative PNT solution for ultra-realistic LEO modeling, inertial emulation, L and S-band signals, etc. — to be fused and tested in unison.

Senior Software Engineer Neil O’Brien utilizing a CAST-8000 GNSS Simulator to analyze CRPA trajectory data. (Photo: CAST Navigation)

Are simulator requirements changing?

Clark: In the past our customers were focused on the simulation of a single element of GNSS signals and a single INS output interface for the testing of vehicles that only supported single element antenna (FRPA) and a single INS capability. Our customers are now requiring simulator systems that produce multiple elements of phase-coherent GNSS signals that are commensurate with multiple INS interface outputs to drive navigation systems that can utilize a phased-array multiple-element antenna sub-system (CRPA) and multiple INS sources simultaneously.

Perdue: Yes, simulator requirements are always evolving. High signal counts are essential due to the increase in LEO constellations, and there’s a need to replicate multiple threats to create realistic environments. Built-in automation is crucial for managing these complex scenarios. The ability to add custom signals and constellations is necessary for experimenting with new technologies. Our software-defined architecture allows for quick integration of new signals, ensuring flexibility and responsiveness to changing needs. Innovations such as a radio utilizing the RFSoC to provide a high number of multi-frequency outputs from a single system and the BroadSim Duo, which offers dual-frequency capabilities in a compact form factor, demonstrate our approach to meeting these evolving requirements.

Ackermann: As new markets and use cases emerge, the simulator requirements evolve. The growing prevalence of NAVWAR threats, such as GNSS jamming and spoofing, and the range of systems these attacks are impacting is enhancing the criticality of lab testing.

Whether seeking to gain battlefield advantage or to secure civil operations (aviation, for instance), the ability to generate a wide range of NAVWAR attack vectors in complex scenarios is needed like never before. New waveforms must be incorporated quickly and realistically, while defensive technologies such as CRPAs must be exercised with a higher level of precision.

Crampton: Due to the demand for flexible attack vectors and the expanding range of available signals, simulators need to be capable of generating authentic RF environments from novel, user-defined waveforms. A time-saving method has been developed using prerecorded I/Q files. Spirent’s sixth-generation solution, PNT X, accepts raw I/Q data, analyzes the environment and the dynamic movement between receiver and transmitters, and automatically applies the correct motion effects to the generated RF signal. The simulated signal now has real-world dynamics without the need for manual inputs from the user. Realism made simple! Additionally, multiple I/Q-defined transmitters can be seamlessly integrated with native 3D terrain-modeling capabilities to create rich RF environments with multipath and obscuration.

A continuous, dynamic range is required to better replicate high-power jamming threats for controlled reception pattern antenna (CRPA) testing. With PNT X, high-power jammers can be simulated from the moment they become part of the noise floor to when a vehicle, such as an aircraft using a CRPA, passes by it. This continuous range enables CRPA developers to characterize null-steering ability with greater precision than previously possible.

Ackermann: As previously mentioned, there is also a growing need for integration and automation. Systems need to work in concert, and testing needs to happen quickly and efficiently to stay ahead of markets and threats. To this end, the ability to automate and to control remotely, and the ability to integrate seamlessly with other simulation and control systems, are core requirements for modern labs. Spirent is simplifying and automating testing with support for multiple industry-standard frameworks.

In established markets, safety requirements on devices under test drive simulator needs. For instance, functional safety requirements for automotive applications demand the ability to simulate threats and events, while the fidelity requirement of the simulation is elevated to assure conformance.

3D view of an aircraft flying a simulation. (Photo: CAST Navigation)

What mix of signals do you support?

Clark: GPS L1/L2/L5, L1C, L2C, C/A, SBAS, P, Y, SAASM, M-Code AES and MNSA, Glonass and BeiDou

Perdue: We support a wide array of signals, including GPS, GLONASS, Galileo, BeiDou, and regional systems such as QZSS and IRNSS. Additionally, we incorporate alternative navigation signals, such as those from Xona, and support inertial navigation and timing signals. Our software-defined architecture enables us to handle high signal counts and allows for extensive customization, ensuring we can simulate any required signal environment. This flexibility ensures we meet the diverse needs of various industries and applications, from aviation and maritime to autonomous vehicles and defense.

Ackermann: Spirent supports all open service GNSS signals and classified GPS testing — including M-Code Regional Military Protection — as well as PRS (through prs[ware] and our partnership with Fraunhofer IIS) on our simulation platforms.

In addition:

• Regional systems (e.g., NavIC or QZSS)
• S-band frequency signals
• Custom non-ICD signals
• LEO PNT (Xona Space System’s PULSAR and others)
• A broad range of interference waveforms, including CW, FM, PM, wideband AWGN, chirp, matched spectrum, etc.
• Generation of RF from I/Q data injection in L-band and S-band frequencies
• Correction/augmentation
• Inertial sensor emulation

Furthermore, the ability to geolocate custom RF beacons either in a range of orbits or in terrestrial locations adds huge signal flexibility.

What are the key challenges you face?

Clark: As our customers’ needs grow and evolve, some of our key challenges have been the ability to continue to evolve our product utilizing cutting-edge technology while still maintaining backwards compatibility with our older technologies. Efforts like this give our customers peace of mind when making a system purchase and enable them to take full advantage of prior purchases when requirements change and system enhancements are necessary.

Perdue: A key challenge is creating complex simulation environments that require specialized expertise. Customers often lack the knowledge to design these environments effectively. Ensuring simulation accuracy and cybersecurity are significant concerns, especially as new threats emerge alongside new technologies developed to combat existing threats. Translating performance requirements into practical specifications and meeting stringent industry standards adds another layer of complexity. We address these challenges through continuous updates and close collaboration with our customers to ensure our solutions meet their evolving needs.

Ackermann: For 40 years, we have faced a challenge that, to some degree, is being addressed. Namely, PNT is not widely standardized and therefore test requirements are highly diverse. The scale of Spirent and the empowering flexibility of our systems enables us to overcome this, but it remains challenging.

The current geopolitical situation also presents challenges, as the number of threats and the potential for negative events demand ever-increasing sophistication in testing. That’s why we built PNT X with high-power jamming and spoofing capability for greater realism and accurate test results.

Crampton: The complexity of next-gen positioning engines means that our systems have to integrate and interact with other systems, built by other companies with other protocols and specifications. Spirent maintains the precision and stability our customers expect from us while incorporating an open and controllable architecture for easier plug-and-play in complex hardware-in-the-loop environments.

M3 SYSTEMS

Please introduce your company.

Tsaturyan: We represent the Mistral Group, which includes three distinct companies: M3 Systems France, M3 Systems Belgium and Boreal. M3 Systems France teams provide GNSS simulation and test and measurements solutions and radionavigation and signal processing expertise. M3 Systems Belgium teams are experts in air traffic management (ATM) studies. Boreal teams offer beyond-line-of-sight missions for maritime surveillance, Earth observation, and scientific experiments with the BOREAL long-range unmanned aircraft. Each company extends its scope to the challenges of GNSS and UTM with an integrated approach.

What are your key markets? What challenges are you addressing?

Our customers are from different industries: we work with space agencies — such as France’s Centre National d’Études Spatiales (CNES) and the European Space Agency (ESA) — private R&D labs and automotive companies and railways. We propose GNSS simulation products such as the Stella GNSS simulator, which allows users to simulate a vehicle in a realistic environment and in real time for low latency. Our simulator is designed to reproduce the sky with high precision. The GNSS signal passes through different layers, each one of which has a different effect. First, there can be an error in the satellite clock, then there can be a delay as the signal passes through the atmosphere, then, on the ground, there is a risk of a spoofing or jamming attack and, in urban areas, multipath from buildings.

What signals does your simulator support?

Our GNSS simulator is multiconstellation and multi-frequency. It supports all the available GNSS signals and frequencies. Users can simulate multiple antennas and multiple trajectories, custom atmosphere and multipath effects. We offer several built-in models of multipath. Users also can use their own multipath models and even integrate it with an SE-NAV multipath simulation tool. We also have several built-in jamming signals that users can apply and spoof the real signal coming from the antenna or spoof the simulated signal. Our setup now also supports Galileo’s Open Service Navigation Message Authentication (OSNMA). Our Stella GNSS simulation software can run on three different products designed for specific needs: the Stella GNSS Simulator Base (based on NI’s USRP kit), the Stella GNSS Simulator Suite (based on our bundle), and the Stella GNSS Simulator Advanced (based on NI’s VST). Our VST-based solution is optimized for tests that require high performance in terms of calibration — such as simulating a CRPA antenna, where the channels need to be very tightly synchronized.

Photo: M3 Systems

What does your Stella Suite do?

The Stella GNSS Simulator offers up to two independent RF simulations, enabling simultaneous simulation and the jamming/spoofing or the simulation of multiple antennas and trajectories.

Our simulator suite is basically an all-in-one device that allows users to plug in a receiver. This single device enables  users to simulate jamming, spoofing, multiple antennas or multiple trajectories.

When did you launch this product?

We released it and demonstrated it during Emerson NI’s “NI Connect” event. They have an annual event in May in Austin, to which they invite all their partners and customers. This year, we were invited there to present our new simulator. We brought a HIL test setup to demonstrate the new configuration of our GNSS simulator: a closed-loop test of a drone autopilot system. When kinematic parameters from the flight simulator are simulated, the trajectory is sent to the Stella GNSS simulator, which then generates the GNSS RF signal and interference to assess the receiver’s performance. The receiver then passes its positioning data to the autopilot, which sends the commands to the flight control unit in the flight simulator. It’s one of the use cases, because to fully test the receiver, in addition to the nominal situation, it is also necessary to introduce some errors — such as interference, jamming, spoofing or meaconing.

What are some other use cases for this simulator?

Another use case is the test of Advanced Driver Assistance Systems (ADAS) in a 3D simulation environment. Basically, it is designed to test any unit that includes the GNSS positioning and to test the receiver’s robustness in case of jamming, spoofing, or meaconing.

Is this all done in the lab or can you put your box in a vehicle?

With this setup, it’s all done in the lab, but we also offer solutions to record the real signals from a UAV or a ground vehicle.

Are the challenges changing? Is the market changing?

Now, a GNSS simulator is no longer sufficient. Testing the receiver’s robustness against various types of attacks, particularly jamming, requires diverse methods. Consequently, there is an emerging need for simulating jamming mitigation antennas, such as Controlled Reception Pattern Antennas (CRPA).

<p>The post Simulating new GNSS signals and threats first appeared on GPS World.</p>

The Boreal UAV ready for departure on a maritime mission scheduled to last several hours. (Image: M3 Systems)

What is your role?

I am responsible for all the technical developments on the UAV.

Please describe it.

It’s fixed wing. It has a 4 m wingspan, a maximum takeoff weight of 25 kg, a carrying capacity of up to 7 kg and up to eight hours of flying time. What is special about this UAV is its size and the size of the payload bay, which is large enough to hold different kinds of payloads.

Do you have different versions?

We have a surveillance version, called BOREAL ISR, that has been used for several projects. Another use case for this UAV is to embed scientific payloads. For example, we had several campaigns for meteorology in partnership with Météo-France in the Indian Ocean to study cyclones and another in the Caribbean Sea to study tropical convection. We did several large scientific campaigns with Météo-France.

Most of the payloads we integrate are for scientific testing. Some of them are for cartography in the visible or infrared domain and other kinds of payloads involve radio frequency testing. Among them, we have, of course, GNSS.

The project we conducted in 2023 was a demonstration campaign for the operational use of this surveillance UAV. The campaign occurred from July to November 2023. It consisted of 20 five-hour flights, three of which were at night. In total during that campaign, the UAV flew more than 100 hours for about 8,000 km and captured data from about 20,000 sq km. This made it possible to identify hundreds of boats fishing illegally. In some cases, the country’s navy intervened and the UAV took live video of the operation to help analyze the scene.

The UAV also flew many operations over the tropical forest, some of them at night, which made it possible to identify some recent mining activities in sites that had already been destroyed some months before.

Another subject was forest fires. During one flight, we identified more than 20 forest fires and the firefighters were able to prioritize where to intervene to fight the fires.

What about flights beyond visual line of sight (BVLOS)?

The radio link enables operators to fly the UAV from up to 100 km from the ground control station, provided that we remain in radio line of sight (RLOS) conditions. Additionally, the UAV has a satellite communication system to fly beyond RLOS in some cases. For some scientific missions, the UAV was flown beyond RLOS conditions using satellite communications, and we could fly up to 250 km from the ground control station.

The Boreal UAV is currently deployed for various kinds of terrestrial applications. (Image: M3 Systems)

When was this UAV first available? What is the market for it?

The first big campaign occurred in 2019, for scientific meteorology over the Indian Ocean. The BOREAL drone LAB, a scientific meteorology drone, was ready to operate in 2014.

A second product, (maritime and terrestrial surveillance use cases) was developed and ready to operate in 2021.

Are you selling large numbers of this UAV or only for some special missions?

Several of them have been sold to laboratories for science. From now on, we sell hours of flights as a service on the ISR product. Each drone is used for specific missions (surveillance in particular).

You rent it out instead of selling it?

We sold UAVs to laboratories and now we sell hours of flights as a service. We don’t rent the product. We have a drone fleet that allows us to conduct several missions throughout the year. 

How does all this fit in with M3 Systems’ other products and application areas?

GNSS development requires testing radio frequencies in flight. Our UAV is very useful for testing GNSS payloads. We also have a project to provide payloads for satellites. It is an intermediate step for testing these payloads in the air. The BOREAL drone also leverages the group’s expertise in ATM/UTM, making its integration into the airspace seamless.

What GNSS receiver is on the UAV? Also, what correction networks does it use?

The drone embeds a standard GNSS receiver and uses it for its own navigation needs without corrections service. However, through the PASSPORT project the objective was to demonstrate the added value of OSNMA encryption in the Galileo signal, particularly its anti-spoofing capabilities. To assess this, we needed to conduct a spoofing attack on receivers with the OSNMA functions. We used a Septentrio Polar X 5 receiver. Due to safety concerns, this could not be performed on the drone during flight. Instead, we recorded the IQ signal onboard the drone during the flight campaign and later replayed it in the lab for the receiver. During the replay, we introduced spoofing while OSNMA was disabled on the receiver and showed that spoofing was easily achieved. When enabling the OSNMA service on the receiver, spoofing was still possible but the authentication key was not received, indicating that the signal was not trustworthy. 

<p>The post M3 Systems: UAVs for surveillance and scientific testing first appeared on GPS World.</p>

Septentrio

Septentrio has been working on port automation projects with Kalmar, a Finnish company that offers a wide range of cargo handling solutions and services to ports, terminals, distribution centers and heavy industry. I discussed this collaboration with Stef van der Loo, market access manager at Septentrio. Following are excerpts of our conversation. For a much longer version, click here.

What are the challenges operating in a port?

In a container terminal or port, everything is interconnected and, therefore, complex. Lately, GNSS has become more popular, especially when coupled with inertial navigation, because the technology has become more capable of delivering centimeter-level accuracy even in challenging environments where the line-of-sight to GNSS satellites may be partially blocked by containers or structures.
What drives higher accuracy?

this Kalmar container handler has a Septentrio high-accuracy GNSS/INS receiver and an inertial system, which operate in challenging environments of low satellite visibility. (Image: Kalmar)

Every year, every terminal stacks a certain number of containers, but not all the information about them is given to the terminal operating system (TOS) automatically. Sometimes, operators must search for misplaced containers, which may require stopping operations and deploying additional personnel. Additionally, it is not very safe to go into these yards. This is one reason why ports began to deploy positioning systems. However, ten years ago, with meter accuracy, they were failing all the time. Now, improvements in the technology have enabled GNSS to become fit for the challenge. In terminals, you can use GNSS or INS systems for vehicle traffic management, autonomous vehicles and tasks, or to get the position of a container.

For example, when a reach stacker reaches into a stack and locks a container in place, it’s crucial to have a very reliable centimeter-level position. Errors grow as the data is processed from the control systems to the TOS. To know for certain the position of a container when it was placed in a stack errors must not exceed half a meter. Therefore, the reliability and accuracy of the GNSS/INS is crucial for container positioning.

Do you buy the IMUs and do all the integration?

We buy the IMUs mostly from Analog Devices. The integrated inertial navigation solution is our own. We focus on inertial navigation in several markets — including logistics, autonomous mining, and agricultural robotics.

What is the division of labor between you and Kalmar?

Kalmar is both an OEM and an integrator. They are a guru for the automation of logistics terminals. We work with them mainly as an integrator. They will go to a terminal, like other integrators, and install the systems and other equipment. Kalmar built a whole sensor stack with all types of sensors and integrated this in their packages, such as SmartPort. With a train-the-trainer principle, our engineers trained Kalmar employees, so they have first line control of the installations and troubleshooting. Then we are ready to support them where we can. We have a continuous feedback loop with several logistics customers for suggestions and product recommendations for the evolution of our products and services for this segment.

Straddling containers

JAVAD GNSS 

Straddle carrier in operation equipped with DELTA-3S. (Image: Canva)

One of the largest container companies in the world needed a solution to manage its straddle carriers, which are specialized container handling vehicles at ports that can pick up large containers and move them to trucks, trains, or other container stacks. This is very challenging for container terminal operators because ports are highly complex operating environments that also provide other maritime services, such as storing and managing cargo, forwarding freight, and clearing customs. To handle containers safely and efficiently, modern terminals have buildings, equipment, and cranes in addition to straddle carriers. All this infrastructure creates a lot of multipath that stresses the capabilities of GNSS receivers.

To develop and install this new system for straddle carrier vehicles, the container company turned to JAVAD GNSS and to ALLSAT GmbH, a German engineering, geodetic and electronic company founded in 1991 that has been JAVAD’s German distribution partner since 1995. To address the challenge, in 2022, ALLSAT GmbH applied a new digital twin concept to supply and support the commissioning of several hundred JAVAD GNSS rover solutions at three international seaports. This required obtaining real-time and highly accurate positional data for moving straddle carriers and uploading it to a terminal information system for control and documentation.

ALLSAT deployed a geodetic conceptual design that integrates JAVAD GNSS Delta-3S receivers and RingAnt G5T and GrAnt-G5T antennas to deliver precise surveying of two GNSS reference stations per port, then commissioned the system on all the straddle carrier vehicles from a single source. It also developed a solution employing two redundantly operating reference stations that broadcast RTK correction data for all GNSS (GPS, Galileo, GLONASS, and BeiDou) on different IP addresses/radio frequencies. All the JAVAD RTK rovers can receive and process data from both correction sources in parallel thanks to their 874 channels and parallel processors. This offers two advantages. First, it provides a comprehensive fallback in the unlikely event that one reference station fails. Second, it greatly improves the reliability, speed and accuracy of the rovers, which operate in an environment rife with signal shadowing and multipath influences.

Working closely with its client and JAVAD GNSS, ALLSAT was able to implement this project, from initial idea to verification and commissioning, in only a few weeks. The combination of redundant, multi-constellation reference stations and JAVAD GNSS multi-base RTK yielded a solution that is highly reliable and available, providing for continuous operation despite the challenging environmental conditions. Additionally, JAVAD GNSS provides firmware updates for the life of the devices, which will enable the customer to rely on this base rover solution for the next 10 years.

Tracking trains

M3 Systems 

(Image: Logiplus)

M3 Systems, a French-Belgian geolocation company founded in 1999, has long supported the R&D activities of European space and civil aviation agencies. It also markets products that it developed through its R&D activities. In recent years, M3 Systems expanded its activities into the automotive and rail sectors. To develop a new device for trains, it partnered with two Belgian companies: Logiplus, which makes onboard electronic systems for trains, and ALSTOM Belgium, a division of ALSTOM group, which builds trains and equipment for train tracks. “The objective during the product design was the development of a hybrid sensor that uses both a GNSS sensor to provide absolute positioning, and an inertial measurement unit (IMU) to compensate for environmental obstructions such as trees and urban canyons by calculating the train’s position based on its last GNSS-based absolute position,” explained Jérémy Skelton, project lead at M3 Systems.

IMUs have long been coupled with GNSS because each technology compensates for the other one’s limitations: IMUs suffer from drift and GNSS receivers from signal loss in certain environments. In theory, surveying the tracks and using odometry to monitor a train’s linear position on them would suffice to locate it. In practice, however, wheel encoders “are prone to errors because the wheels are subjected to a lot of sliding and skidding,” Skelton said.  “So, we need completely independent sensors.”

This requirement led ALSTOM to propose the development of the IGLOO (an acronym for IMU & GNSS vehicle odometry) input device, which integrates all the different sensors. Logiplus designed and manufactured the hardware, while M3 Systems wrote the algorithm.

The project, which was partially funded thanks to a grant from the European Regional Development Fund and supported by the Région Wallonne of Belgium, was divided into three components:

• The software to couple the IMU and the GNSS to compute the train’s velocity.
• The auto-calibration solution, which eliminates the need for automatic calibration when starting the sensor.
• A hardware platform that incorporates a low cost IMU.

The consortium defines three kinds of zones in which a train will operate, depending on the trustworthiness in each zone of the GNSS signals. “For example, an environment with a clear view of the sky and no nearby obstacles is trustworthy,” Skelton said, “while a forest, an urban canyon, or the entry into a tunnel are not. Without GNSS support, eventually the IMU will also become unreliable.”

At very low speeds, errors must be very low, but at higher speeds a greater speed error is allowed. Operators can extract different levels of data from a GNSS receiver. To achieve a tight GNSS-INS coupling, they can use the Doppler delays and hybridize them with the IMU or use the tracking loop and set the range and Doppler. For a loose coupling, they can directly use the GNSS receiver’s positioning, velocity, and timing data. All couplings are performed by using Bayesian filters, for example the Kalman filter. “Loose coupling will give you less accuracy, reliability, and integrity, but it will also be less CPU-intensive,” Skelton said.

For data acquisition on a train, M3 Systems generated a printed circuit board (PCB) with a u-blox GNSS receiver, a Septentrio Asterix GNSS receiver, nine IMUs (which enables them to choose the best one for the use case), a reference trajectory unit that provides ground truth, and a computer that takes the data from the GNSS receivers and the IMUs. “Everything was integrated for measurement purposes on a rack on a train that runs here in Belgium,” Skelton said, “and all the data was retrieved automatically via a 4G internet connection. We have collected a few thousand kilometers traveled, a few hours of tunnels, and both trustworthy and untrustworthy GNSS signals.”

M3 Systems’ partner Logiplus designed the product to support the hybridization software and interface with the European vital computer (EVC), which monitors and continuously calculates the train’s maximum speed and braking curve. “It is critical for the EVC to have perfect knowledge of the train’s speed, which is the main reason we designed this new device,” Skelton said. “What is specific in that hardware is the computing power, the two systems (GNSS and inertial), and the data fusion algorithm, which allows the hardware to evolve. For example, we can switch to a different IMU.”

The IGLOO system complies with the specified safety requirements, contributing to a more reliable knowledge of the train speed, which reduces the risk of accidents and fatalities, improves traffic flow, and improves the efficiency and safety of the train operations, Skelton pointed out.

Surveying a railroad

Eos Positioning Systems 

A rail tunnel at Leigh-on-Sea in East of England. Arcadis used Eos Arrow 100 GNSS receivers alongside Esri’s ArcGIS Survey123 to collect rail assets with submeter accuracy in real time. (Image: Amaro)

Network Rail, which owns and manages the railway infrastructure in England, Scotland and Wales, needed an as-is survey of up to 50,000 electrical assets along 400 miles of rails in the eastern region of the country. It turned to Arcadis, a design and consultancy firm that specializes in sustainable design and engineering services. The project required delivering accurate building information modeling (BIM) plans of the rail line to support operations and maintenance of the electrified infrastructure, while ensuring a safe working environment for the surveying teams. Using Arrow 100 GNSS receivers from Canadian manufacturer Eos Positioning Systems and Esri’s ArcGIS Survey123 and ArcGIS Hub software, Arcadis was able to efficiently capture the data with sub-meter accuracy and share it with Network Rail in real-time.

Arcadis decided to conduct a digital field survey to collect the data and to use GIS to manage it, said Gideon Simons, Associate Director of GIS and Geospatial Consultant at Arcadis. “We provided the survey teams iPads, the Esri application, and the GNSS receivers.” For corrections, it used the Ordnance Survey’s OS Net. “We found through a few assessments and testing that the Eos Arrow’s precision was good enough to meet the project’s requirements.”

The region surveyed is mostly rural but the rail line traverses some very urbanized areas. “One of the first challenges was surveying under cover in stations and in quite a few tunnels. So, we developed methodologies using georeferenced plans and imagery and taking temporary datums using GNSS outside the tunnels, to measure distance and offsets to the assets in the tunnels with measuring wheels that allowed for post-survey processing and the location accuracy required,” said Simons.

Photography was also a key to the success of the project. “In just one depot, we surveyed thousands of assets with many inside train sheds,” said Simons. “We use 360-degree cameras and train view cameras, so that we really understand where assets should be placed.”

The next stage for Network Rail is to maintain that equipment — whether it’s replacing it, bringing it up to code, or potentially installing new assets, Simons pointed out. “In the UK, we use a variety of measurements — imperial and metric. So, it’s been very helpful for the client to have just one source of truth reference that supports their work yet that can still link with other systems and ease communication with wider teams.”

<p>The post GNSS solutions for challenging environments first appeared on GPS World.</p>

Image: M3 Systems

The IOD-full software-defined radio (SDR) GNSS project will enable new services through a reconfigurable SDR payload, enabling on-demand analysis of GNSS signals from space. Through space-based signal analysis, this project paves the way for reconfiguring GNSS signal processing and developing expertise in adaptable and scalable GNSS receivers to accommodate signals from future constellations.

M3 Systems, Loft Orbital, and Space Co-Design play a key role by providing rapid access to space for the facilitated and accelerated deployment of the receiver in orbit. Co-financed by the Occitanie Region, the IOD-full-SDR-GNSS project was selected as part of the “Nanosatellites Plan – Acceleration of In-Orbit Validations (IoD/IoV)” call for projects, co-developed with the French government based on the needs expressed by regional companies under the ADER 4 Recovery Plan.

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Image: BOREAL SAS

BOREAL SAS and M3 Systems France, both subsidiaries of the Mistral Group, are collaborating on Mistral Group’s new corporate mission, Space4Earth, which aims to define the future of geolocated positioning by 2030. To work on the mission, both companies are consolidating space technology and UAV teams across two sites in the Toulouse, France, region with the goal of providing end-to-end solutions in the areas of automotive, drone, and space-based geo-positioning.

The Mistral Group has established its first multi-expertise center on Jean-Jaurès Avenue in Toulouse. Its location aims to stimulate internal collaboration. The location of the site will enable the Mistral Group to play a key role in the field of space innovation and long-range UAVs.

The second site, located in Lavernose-Lacasse, will house the InnovLab innovation center, which is dedicated to creating proofs of concept. The lab is equipped with advanced technological resources to enable company employees to work on the developments of UAV and GNSS projects. The overall objective is to develop new payloads and to develop integration methods to offer bespoke flying laboratories.

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Image: M3 Systems

M3 Systems has played an important role in the CPS4EU European project by providing use cases and solutions centered around the company’s GNSS simulator, StellaNGC.

The project aims to develop new Cyber-Physical Systems (CPS) technologies that will improve the efficiency and reliability of critical infrastructures, such as transportation systems, energy networks and communication systems.

The CPS4EU project involves 36 partners from various European countries, including M3 Systems, working to develop new standards and guidelines for the design, deployment and operation of CPS.

The M3 Systems’ flagship product was integrated into a new test bench, to be used by position systems, to assess reliability for autonomous driving and intelligent mobility applications.

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M3 Systems Belgium’s Haps-Augmented Search-And-Rescue Demonstrations System (HASARDS) project is looking to improve positioning of the global collaborative Copas-Sarsat search-and-rescue system by using its high-altitude platform system (HAPS).

The project is designing features for the system, such as carrying out geolocation with HAPS imagery and establishing communication between individuals in distress and emergency services.

While conducting HASARD, researchers were able to document system enhancements, execute a piloted flight-test campaign to create a realistic distressed aircraft carrying a second-generation beacon and future HAPS, and develop and operate a second-generation beacon signal simulator and HAPS system simulator.

Researchers found that using HAPS independent of Cospas-Sarsat adds value to search-and-rescue operations, providing location details via data fusion and georeferenced imagery while relaying communication between SAR teams and people in distress.

Photo: M3 Systems Belgium

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M3 Systems, Pipistrel and Volocopter have completed their first joint flight test campaign in France at Pontoise airfield.

The week-long flight tests simulated three different avoidance maneuvers in real-world situations where unforeseen circumstances occur, such as a complete airport or vertiport closure, an unavailable final approach and takeoff area, and traffic deconfliction.

M3 Systems was created from engineering activities in GNSS and consulting activities in air traffic management (ATM), including for uncrewed aircraft. M3 played a role in Galileo signal definition, among other projects for Europe’s various space agencies. Pipstrel is a light aircraft manufacturer specializing in electric propulsion, and Volocopter specializes in urban air mobility (UAM) systems.

The joint campaign among the three companies — with French partners Groupe ADP and its subsidiary Hologarde — aimed to achieve smooth interaction within and between the new lower airspace’s unmanned traffic management (UTM) and standard civil aviation ATM systems.

The Boreal system is a fixed-wing UAV with high-endurance and heavy payload capacity. (Photo: M3 Systems)

The aviation industry is experiencing an innovation upsurge driven by technology and societal pressure for new forms of aviation focused on sustainable, digital and autonomous air mobility. The resulting solutions will generate a significant increase in traffic density in the lower airspace.

Because existing ATM systems are not designed to handle such volumes or digitalization, coordinating existing and new traffic management systems for brand-new aircraft integration will ensure efficient large-scale operations. This includes commercial, general and drone aircraft for cargo and passenger flights, both crewed and uncrewed.

The CORUS-XUAM project, funded by the European Union’s initiative Single European Sky ATM Research (SESAR) Joint Undertaking, focuses on solving the challenge of conventional and new traffic management system integration and consists of 19 partners and 11 third parties. M3 Systems, Pipistrel and Volocopter all completed individual flight-test campaigns before this event to bring their aircraft in line with the U-space services.

A week of flight tests ended with an Open Day air show and presentations. (Photo: M3 Mobility)

The CORUS-XUAM flight test conducted at Pontoise airfield near Paris is the third of several flight tests to simulate a variety of real-world scenarios that demonstrate how UTM and ATM intersect with multiple aircraft types.

Moreover, the CORUS-XUAM project will continue to proactively test and create a safe and controlled lower airspace under the European Union’s ambitious Single European Sky (SES) initiative throughout 2022.

The successful flight tests at Pontoise airfield were conducted with M3 System’s Boreal remotely piloted aircraft system, Pipistrel’s crewed Velis Electro, the only type-certified electric aircraft in commercial service in the world, and Volocopter’s fullscale, remotely piloted 2X prototype. Pipistrel uses the conventional ATM tower and system while Volocopter and M3 Systems use the UTM system. The following three flight scenarios were tested:

• The unexpected occupancy of a final-approach-and-takeoff plan and aircraft diversion because of priority landing of another aircraft (Pipistrel and Volocopter aircraft).
• The diversion of a flight path because of the closure of an airport or vertiport (M3 Systems).
• The diversion of a flight path with two aircraft flying the same path (M3 Systems and Volocopter aircraft).

“These successful tests confirm that our Boreal UAS will be an enabler for future XUAM operations in situations where aircraft need to safely divert paths to another vertiport due to an unforeseen closure or another aircraft in the air,” explained Marc Pollina, M3 Systems CEO. “By providing rerouting demonstrations and tactical communications with U-Space service providers, M3 Systems can support future coordination between AAM and airport operators.”

Pipistrel is “As the manufacturer of the only type-certified electric aircraft in commercial service in the world, proud to take part in technical projects that shape the vision of air mobility and make progress in a meaningful way,” said Gabriel Massey, Pipistrel president. “The CORUS project and Paris demonstrations clearly show how UAM vehicles will be able to fly safely in regular airspace post-2030 and will help to unlock new lower-noise and lower-emission air passenger and air cargo services.”

In 2019, Volocopter tested its 2X ATM integration at Helsinki airport and was actively involved in the development of the European U-Space Concept of Operations, according to Oliver Reinhardt, Volocopter’s chief risk and certification officer. “Building an efficient ecosystem around UAM is Volocopter’s mission, and connecting ATM/UTM integration with our digital platform, VoloIQ, is poised to be an integral part of bringing UAM to megacities worldwide,” Reinhardt said. “I am looking forward to the next CORUS-XUAM test flights later this year in Germany and what we can achieve there.”

The project has received funding from the SESAR Joint Undertaking under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101017682.

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