Kalman filtering of GPS signals for target tracking application

Sarab Tay (1, 2) , Frederic Maussang (3, 1) , Arnaud Coatanhay (4, 5) , René Garello (3, 1)

1 ITI - Département Image et Traitement Information
2 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
3 Lab-STICC_TB_CID_TOMS
4 Ensieta - Ecole Nationale Supérieure des Ingénieurs des Etudes et Techniques d'Armement
5 E3I2 - Laboratoire extraction et exploitation de l'information en environnements incertains (EA 3876)

Considering the GPS link as a passive sensor for ocean monitoring, we study the possibility of tracking the GPS signal reflexion footprints on sea surface to improve the acquisition of this signal. As an analogy with the classical problem of moving targets Radar tracking, we develop a tracking algorithm based on Kalman filtering. Our study is based on calculated and measured values of Doppler frequency shift and time delay.

Mots clés: GPS; Kalman filtering; Target tracking; Passive system

Domaines: Traitement du signal et de l'image [eess.SP]

Sarab Tay, Frederic Maussang, Arnaud Coatanhay, René Garello. Kalman filtering of GPS signals for target tracking application. Passive 2010 conference, Jun 2010, Brest, France. ⟨hal-00626512⟩