DocumentCode :
3549882
Title :
Passive position location estimation using particle filtering
Author :
Zhang, Yong-An ; Zhou, Di ; Duan, Guang-Ren
Author_Institution :
Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., China
Volume :
3
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
1635
Abstract :
Particle filters are for the first time introduced into the passive position location estimation. It is shown that the standard particle filter in this case suffers from "sample impoverishment" seriously. Adaptive resampling and regularization operations are suggested to solve the problem. Numerical simulations show that under large initialization errors, the particle filtering significantly improves the location estimation performance compared with the conventional estimation methods.
Keywords :
adaptive estimation; filtering theory; navigation; position measurement; adaptive resampling; particle filtering; passive position location estimation; regularization operation; Aircraft navigation; Convergence; Degradation; Electromagnetic measurements; Filtering; Least squares approximation; Particle filters; Passive filters; Position measurement; Sonar navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1469305
Filename :
1469305
Link To Document :
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