DocumentCode
3225392
Title
Sampling strategies of deterministic sampling nonlinear filters based on invariant cubature formula
Author
Qingpo Wu ; Yuancai Cong ; Wei Liu ; Shaolei Zhou
Author_Institution
Dept. of Control Eng., Naval Aeronaut. & Eng. Inst., Yantai, China
fYear
2015
fDate
23-25 May 2015
Firstpage
4829
Lastpage
4834
Abstract
In order to improve the filter precision, this paper studies on sampling strategies of the deterministic sampling nonlinear filters. Firstly, we propose a general sampling points selection method based on invariant cubature formula. Secondly, several sampling strategies with 3 order and 5 order accuracy by the proposed method are obtained and analyzed. Finally, simulations based on the bearings-only tracking model and target tracking model show that the proposed sampling strategies are valid. Simulation results show that when using different sampling strategies, the estimation precision of the filters are quite different, and select the appropriate sampling strategies can improve the filter precision effectively.
Keywords
estimation theory; nonlinear filters; signal sampling; target tracking; bearings-only tracking model; deterministic sampling nonlinear filter; filter estimation precision; invariant cubature formula; sampling strategy; target tracking model; Accuracy; Analytical models; Estimation error; Filtering theory; Finite element analysis; Mathematical model; Target tracking; Deterministic Sampling Filter; Invariant Cubature Formula; Sampling Strategy; Target Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162780
Filename
7162780
Link To Document