DocumentCode
3564545
Title
Systematic biases estimation method based on combined PSO and PDA
Author
Zhou Lin ; Pan Quan ; Liang Yan ; Guan Chao
Author_Institution
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear
2013
Firstpage
4692
Lastpage
4697
Abstract
In clutter background, in order to solve some problems including measurements echoes and systematic biases randomization, a new on-line systematic biases estimation method is proposed under dense clutters. Firstly, the association probabilities of measurements echoes are obtained by PDA method. Then, the objective function of optimization is constructed using association probabilities. Finally, the systematic biases are estimated by PSO optimization operation. The proposed algorithm considers the variety of systematic biases particles of PSO and measurements echoes of PDA, synthetically. Simulation results show that the proposed algorithm is a good method for systematic biases estimation in clutters.
Keywords
estimation theory; measurement errors; particle swarm optimisation; probability; sensor fusion; PDA method; PSO optimization operation; association probabilities; clutter background; measurements echoes; online systematic biases estimation method; particle swarm optimization; probability data association; systematic biases randomization; Clutter; Educational institutions; Estimation; Particle swarm optimization; Personal digital assistants; Radar tracking; Systematics; Biases Estimation; Particle Swarm Optimization (PSO); Probability Data Association (PDA); Systematic biases;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2013 32nd Chinese
Type
conf
Filename
6640249
Link To Document