DocumentCode
3211630
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
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
1391
Lastpage
1394
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280682
Filename
4060314
Link To Document