Near sea surface target tracking by extended Kalman filtering of the GPS reflected signals
Résumé
This paper addresses the use of Global Navigation Satellite Systems (GNSS) as a remote sensing tool for oceanographic applications. In this paper we use the Global Positioning System (GPS) signals reflected off the sea surface along with a coastal receiver to perform detection and tracking of a near sea surface mobile target. Because these signals have a very low Signal to Noise Ratio (SNR) in a non stationary medium, a
matched filter is required. A filter based on the Extended Kalman process is presented here.