Spectral Analysis and Low-Frequency Multipath Mitigation for Kinematic Applications

E.M. de Souza, J.F.G. Monico, W.G.C. Polezel

Abstract:	Low-frequency multipath is still one of the major challenges for high precision GPS relative positioning. In kinematic applications, mainly, due to geometry changes, the low-frequency multipath is difficult to be removed or modeled. Spectral analysis has a powerful technique to analyze this kind of nonstationary signals: the wavelet transform. However, some processes and specific ways of processing are necessary to work together in order to detect and efficiently mitigate low-frequency multipath. In this paper, these processes are discussed. Some experiments were carried out in a kinematic mode with a controlled and known vehicle movement. The data were collected in the presence of a reflector surface placed close to the vehicle to cause, mainly, low-frequency multipath. From the analyses realized, the results in terms of double difference residuals and statistical tests showed that the proposed methodology is very efficient to detect and mitigate low-frequency multipath effects.
Published in:	Proceedings of IEEE/ION PLANS 2008 May 6 - 8, 2008 Hyatt Regency Hotel Monterey, CA
Pages:	413 - 417
Cite this article:	de Souza, E.M., Monico, J.F.G., Polezel, W.G.C., "Spectral Analysis and Low-Frequency Multipath Mitigation for Kinematic Applications," Proceedings of IEEE/ION PLANS 2008, Monterey, CA, May 2008, pp. 413-417. https://doi.org/10.1109/PLANS.2008.4570097
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