Error Analysis of Sea Surface Wind Speed Estimation Based on GNSS Airborne Experiment

K. Yu, C. Rizos, A.G. Dempster

Abstract:	Global Navigation Satellite System (GNSS) signals can be exploited to remotely sense a number of geophysical and geochemical parameters such as ocean surface wind speed, ocean surface altitude and soil moisture in a cost-effective way. This study investigates ocean surface wind speed estimation with a focus on the analysis of the estimation error. A low-altitude airborne experiment was conducted recently and the collected data were processed to generate the delay waveforms through cross-correlation. Wind speed estimation was realised by fitting the theoretical waveforms with the measured waveform. For each of the eight satellites whose elevation angles are greater than 20deg, a sequence of 100 wind speed estimates were produced. The results show that the root mean square error of the eight error sequences ranges from 0.3m/s to 0.94m/s. Based on the limited number of samples, the error distribution is approximately bell-shaped with a Gaussian distribution.
Published in:	Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012) September 17 - 21, 2012 Nashville Convention Center, Nashville, Tennessee Nashville, TN
Pages:	1941 - 1946
Cite this article:	Yu, K., Rizos, C., Dempster, A.G., "Error Analysis of Sea Surface Wind Speed Estimation Based on GNSS Airborne Experiment," Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012), Nashville, TN, September 2012, pp. 1941-1946.
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In