The Applications of Wavelets to GPS Signal Processing

Fu Wan Xuan, Chris Rizos

Abstract:	Wavelet transformation is a new kind of tool of signal analysis, and it can offer time and frequency information of the signal at the same time. Using multiresolution analysis (MRA) method, the details and features of the signal can be extracted rapidly by using fast wavelet transformation algorithms. In this paper, MRA and wavelet transformation are introduced in digital signal processing form to promote the better understanding and implementation of physical meaning and algorithms of the wavelet essential. Based on the Daubechies’s orthonormal wavelet family, real data processing is carried out for GPS measurements. The Applications are focused on the signal denoising, outlier detection, bias separation and data compression, which are important issues for GPS data processing, and the results are promising. Some relevant topics, such as signal identification, and future development of the wavelet signal processing are also mentioned.
Published in:	Proceedings of the 10th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1997) September 16 - 19, 1997 Kansas City, MO
Pages:	697 - 703
Cite this article:	Xuan, Fu Wan, Rizos, Chris, "The Applications of Wavelets to GPS Signal Processing," Proceedings of the 10th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1997), Kansas City, MO, September 1997, pp. 697-703.
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