@inproceedings{21b1de33ed084e508ba45f7784ab3b45,
title = "Optimization of GPS receiver's Kalman filter solution for navigation under high dynamics",
abstract = "Traditional Kalman filter can overcome the influence of observation noise error better than RLS. However, in high dynamic cases, the constant acceleration model and the practical model's mismatch due to the rate of acceleration change can result in the reduction of the velocity's precision calculated by navigation. In order to solve the problem, this paper proposes noise covariance matrix's dynamic regulation and RLS auxiliary for optimization. The signal contained a turn movement simulated by GPS signal source is used to test the method and the result shows the optimized method can improve the vector precision under high dynamics and make the error decrease into an expectable range.",
keywords = "Noise covariance's dynamic adjust, Optimization, RLS auxiliary, Traditional Kalman filter",
author = "Hefen Zhang and Long Zhao",
year = "2012",
doi = "10.1007/978-3-642-29193-7\_39",
language = "英语",
isbn = "9783642291920",
series = "Lecture Notes in Electrical Engineering",
pages = "405--413",
booktitle = "Proceedings - 3rd China Satellite Navigation Conference, CSNC 2012, Revised Selected Papers",
note = "3rd China Satellite Navigation Conference, CSNC 2012 ; Conference date: 15-05-2012 Through 19-05-2012",
}