Adaptive Unscented Kalman Filter for Tracking GPS signals in the Case of an Unknown and Time-Varying Noise Covariance

被引：2
|
作者：
Kanouj M.M. [1 ]
Klokov A.V. [1 ]
机构：
[1] National Research Tomsk State University, Tomsk
来源：
Gyroscopy and Navigation | 2021年 / 12卷 / 03期
关键词：
: GPS signal tracking; adaptive unscented Kalman filter; frequency-locked loop; phase-locked loop; radio navigation parameters;
D O I：
10.1134/S2075108721030044
中图分类号：
学科分类号：
摘要：
Abstract: A new adaptive unscented Kalman filter (AUKF) is proposed to estimate the radio navigation parameters of a GPS signal tracking system in noisy environments and on a highly dynamic object. The experimental results have shown that the proposed AUKF-based method improves the GPS tracking margin by approximately 8 and 3 dB as compared to the conventional algorithm and the KF-based tracking, respectively. At the same time, the accuracy of Doppler frequency measurements increases as well. © 2021, Pleiades Publishing, Ltd.
引用
收藏
页码：224 / 235
页数：11
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