Title :
Application of particle filtering in single observer passive location
Author :
Fu Zhong ; Guo Qiang ; Zhang Lei
Author_Institution :
Sch. of Opt-Electron. Inf., UEST of China, Chengdu, China
Abstract :
A simple regularized particle filtering is described. Particle filtering is successfully introduced into single observer passive location. It is shown that the standard particle filtering in this case suffers from sample impoverishment seriously. This simple regularized particle filtering can overcome this phenomenon, and simulations show that this algorithm can shorten the time of location and improve the precision.
Keywords :
observers; particle filtering (numerical methods); regularized particle filtering; single observer passive location; Bayesian methods; Density functional theory; Information filtering; Information filters; Information science; Monte Carlo methods; Particle filters; Passive filters; Recursive estimation; Sampling methods; Bayesian estimation; particle filtering; passive location; regularized particle filtering; resampling;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280682
