Wavelet based particle filters

被引：0
作者：
Rui, GS [1 ]
Wang, ZG [1 ]
机构：
[1] Navy Aeronaut Engn Inst, Dept Elect Engn, Yantai 264001, Peoples R China
来源：
WAVELET ANALYSIS AND ACTIVE MEDIA TECHNOLOGY VOLS 1-3 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The wavelet transform has a good property of denoising. An improved Particle Filters (PF) algorithm incorporated with wavelet transform, wavelet based Particle Filters (WPF), is given in this paper. This paper applies the denoising principle of wavelet transform to PF so as to reduce the variance of importance weights and improve the accuracy and stability of PF. From the simulation result we can see that the WPF algorithm is not only more accurate but also has higher rate of convergence than common PF algorithm.
引用
收藏
页码：48 / 53
页数：6
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