Expertise for your
GNSS/PNT challenges.

For SBAS (Satellite-Based Augmentation Systems), we have developed a suite of engineering tools to validate and benchmark the performance of EGNOS V2 and EGNOS V3 across the full chain—satellite/SIS, ionospheric modelling and corrections, range domain, and user domain. Our tooling supports both service-volume level assessments (wide-area performance mapping) and receiver-data driven analyses using real measurements. To close the loop from corrections to user impact, we also built an in-house positioning engine that computes SBAS-based solutions and enables detailed evaluation of accuracy, integrity, availability, and continuity under representative operational conditions.

For PPP (Precise Point Positioning), we have developed a set of in-house tools and algorithms focused on high-accuracy, global positioning. Our work includes the implementation of a Kalman Filter–based PPP engine with ambiguity resolution, designed to deliver precise and stable solutions under realistic conditions. The processing chain is fed with precise orbit/clock and bias products from multiple sources—including modern services such as the Galileo High Accuracy Service (HAS)—allowing us to assess end-to-end performance and support the development and validation of next-generation precise positioning capabilities for demanding applications.

For GNSS/IMU Sensor Fusion, we have developed algorithms and simulation tooling to evaluate integrated navigation performance using synthetic GNSS and inertial measurements across a wide range of scenarios. We simulate measurements in different environments (open-sky, degraded, challenged) and under varied vehicle dynamics, then test multiple integration architectures loose coupling, tight coupling, to run sensitivity analyses and quantify how factors such as dynamics, IMU grade, GNSS errors/outages, and measurement quality impact accuracy, robustness, and continuity.

For LEO PNT (Low Earth Orbit Positioning, Navigation and Timing), we have developed a dedicated Service Volume assessment framework to study future navigation constellations in low Earth orbit. This toolset allows us to model candidate LEO-PNT architectures and quantify coverage and performance across the service region—analyzing geometry, visibility, and key service indicators to understand how next-generation LEO constellations could complement or enhance traditional MEO GNSS for more resilient and higher-performance PNT.

For Precise Orbit Determination (POD) in LEO, we have developed processing capabilities and tooling to perform POD using on-board GNSS receiver data from missions such as Sentinel-1 and Sentinel-6, leveraging measurements from GPS and Galileo. Our framework ingests real flight receiver observations and applies orbit determination and quality assessment workflows to estimate and validate precise satellite trajectories—supporting mission needs such as navigation performance monitoring, product quality evaluation, and sensitivity analyses across measurement conditions and modelling assumptions.

For Ionosphere Analysis, we have developed a complete toolkit covering both characterization and estimation, enabling detailed studies from raw measurements to service-level performance. On the characterization side, we compute key ionospheric activity indicators such as ROT and AATR, supporting anomaly detection and scenario classification. For estimation, we implement algorithms to derive TEC, and we perform performance analyses using standard products such as IONEX. In addition, we assess SBAS ionosphere by processing ionospheric grid information (e.g., GIVDs from MT26 messages) disseminated by systems such as EGNOS and WAAS, allowing us to evaluate the impact on user-domain performance.

For GNSS Signal Processing and Receiver Protection, we have developed signal acquisition and tracking algorithms using real GPS and Galileo signals, complemented by advanced scenario generation with tools such as Skydel to simulate signals under a wide range of conditions. This includes controlled environments with different dynamics as well as interference and threat scenarios—jamming and spoofing—to evaluate receiver behavior and design protection and detection capabilities at receiver level.

For Threat & Fault Injection in safety-critical navigation, we have developed simulation and data-generation tools that inject feared events into GNSS/PNT scenarios—such as clock jumps, message anomalies, and other system or measurement faults. This controlled fault injection capability is used to design, tune, and validate integrity barriers that must detect and mitigate failures before they can impact users. It is particularly suited to supporting SBAS integrity chains (e.g., EGNOS V3), where robust monitoring, fault detection, and protection logic are essential to maintain safety performance under off-nominal conditions.