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
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;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese