GNSS* studies aim to define and evaluate innovative geolocation and navigation algorithms:

  • Baseband signal processing
  • Integrity, accurate position tracking and sensor hybridisation algorithms
  • GNSS vulnerability (multipath, interference, spoofing, scintillation)
  • Performance assessment in the laboratory and in real-life conditions
GNSS : Global Navigation Satellites Systems (GPS, GALILEO, GLONASS…)
Constellation GNSS
Traitement de signal GNSS

Signal processing algorithms (baseband)

The properties of the signals sent out by new constellations such as Galileo allow to improve geolocation performance and to strengthen the measurements provided by GNSS receivers. This opens the way to new applications, not only in the field of transport but also for science.

satellites around the planet
Hybridation de capteurs

Integrity, accurate position tracking and sensor hybridisation

In order to improve geolocation performance and, in particular, integrity, the GNSS is completed with other sensors. Therefore GNSS hybridisation with inertial, odometric or visual sensors is essential to meet the requirements of future applications. In addition, accurate geolocation techniques such as RTK and PPP allow to achieve centimeter accuracy.

Vulnérabilité et algorithmes de mitigation

Vulnerability and mitigation algorithms

“In closed-in environments, cities for example, the GNSS signal is subject to interference due to its very low power and multipaths and which requires specific processing. Moreover, the analysis and mitigation of sources of interference, as well as the detection of spoofing, become indispensable in order to protect applications.”

Picture of a city
User interface
Evaluation des performances

Performance assessment and data collection

Laboratory simulation and actual on-site experimentation with the collection of multi-sensor data are fundamental keys for the assessment of the performance of geolocation solutions.