Estimating Multipath in GNSS Signals Through a Novel Stochastic Search and Decomposition Algorithm

Marshall E. Haker and John F. Raquet

Abstract:	This paper provides an in-depth explanation and initial results for a novel algorithm designed to obtain estimates for direct and indirect rays present in received GNSS data. This algorithm is referred to as the Signal Decomposition and Parameterization Algorithm (SDPA). The SDPA generates a much more comprehensive signal model than is obtainable from other multipath estimation methods. The SDPA exploits differences in times of arrival and Doppler frequency values between multipath rays to differentiate and parameterize individual rays. A global stochastic search and optimization method, such as simulated annealing, is used to obtain precise estimates for key parameters used to describe individual rays. Results obtained through simulation that indicate the estimation accuracy of the SDPA are presented.
Published in:	Proceedings of the 24th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2011) September 20 - 23, 2011 Oregon Convention Center, Portland, Oregon Portland, OR
Pages:	1162 - 1172
Cite this article:	Haker, Marshall E., Raquet, John F., "Estimating Multipath in GNSS Signals Through a Novel Stochastic Search and Decomposition Algorithm," Proceedings of the 24th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2011), Portland, OR, September 2011, pp. 1162-1172.
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