Modeling and Analysis of Composite Multipath Characteristics for a Bayesian-Based Dense Multipath Mitigation Algorithm

Nesreen I. Ziedan

Abstract:	In dense multipath environment, the autocorrelation function (ACF) of the received signal suffers from shape distortion due to the superposition of the individual ACFs of multipath signals on the ACF of the line-of-sight (LOS) signal. It is difficult to separate and track each signal individually due to the large number of multipath signals and the continuous change in their characteristics. This paper addresses the problem of tracking in such challenging environments through analyzing the effect of multipath signals on the received signal to develop a novel signal model that captures the composite characteristics of multipath signals The signal model is utilized in a Bayesian-based tracking approach that estimates the composite characteristics of multipath signals and the LOS signal’s parameters. The tracking approach is designed to work as either an open-loop tracking approach or a closed-loop tracking approach. A parameter is introduced to detect changes in the multipath signals parameters and pattern. A detected change will prompt the activation of the open-loop tracking approach; otherwise, the closed-loop approach will be activated. This scheme enables an on-the-fly decision on the current activated tracking approach, which can lead to a more robust tracking. Experiments are conducted to test the effectiveness of the developed model.
Published in:	Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2014) September 8 - 12, 2014 Tampa Convention Center Tampa, Florida
Pages:	2754 - 2766
Cite this article:	Ziedan, Nesreen I., "Modeling and Analysis of Composite Multipath Characteristics for a Bayesian-Based Dense Multipath Mitigation Algorithm," Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2014), Tampa, Florida, September 2014, pp. 2754-2766.
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