Cramer-Rao Lower Bound for Ocean Surface Roughness Estimation Using Multi-GPS Bistatic Radar (original) (raw)

Abstract

The Global Positioning System (GPS) signals reflected from the ocean surface have been considered for estimating geophysical parameters includingocean near-surface wind speed and wave height. A variety of models, methods, and experimental campaigns have verified the level of viability and reliability of the bistatic GPS radars. In this article, we analyse the ocean roughness information inherent in the reflected GPS signals in terms of the ocean state, the number of visible satellites and the altitude of the receiver. Through this theoretical analysis the Cramer-Rao lower bound (CRLB) can be derived to benchmark the performance of surface roughness estimation. In the analysis the impact of different surface wind speeds and surface roughness on the sea state estimation error is studied. Real position data of observed satellites are used to calculate the CRLB in a certain area over 24 hours. The applicability of the theoretical results to airborne and spaceborne receivers is also disc...

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