Passive position location estimation using particle filtering

被引:0
|
作者
Zhang, YA [1 ]
Zhou, D [1 ]
Duan, GR [1 ]
机构
[1] Harbin Inst Technol, Ctr Control Theory & Guidance Technol, Harbin 150001, Peoples R China
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Particle filters are 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.
引用
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页码:1635 / 1639
页数:5
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