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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40722

Title: Multipath Parameter Estimation Using the Unscented Particle Filter Based Code Tracking Loop for Non-Gaussian Noises
Authors: Dah Jing Jwo
Chia Sheng Hsu
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Keywords: Multipath
Tracking Loop
Unscented Particle Filter
Date: 2015
Issue Date: 2017-02-06T06:38:10Z
Publisher: Applied Mechanics and Materials
Abstract: Abstract: In this paper, an unscented particles filter (UPF) based DLL tracking loop with multipath parameter estimation and mitigation capability is proposed for the Global Positioning System (GPS). The I (in-phase) and Q (quadrature) accumulator outputs from the GPS correlators are used as the observational measurements of UPF to estimate the multipath parameters such as amplitude, code delay, phase, and carrier Doppler. The particle filter (PF) possesses superior performance as compared to EKF and UKF as an alternative estimator for dealing with the nonlinear, non-Gaussian system. To handle the problem of heavy-tailed probability distribution, one of the strategies is to incorporate the UKF into the PF as the proposal distribution, leading to the unscented particle filter (UPF). The results show that the tracking loop using the proposed design can effectively estimate the multipath parameters and has demonstrated substantial estimation accuracy improvement as compared to that of the conventional EKF and UKF approaches.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40722
Appears in Collections:[通訊與導航工程學系] 期刊論文

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