Particle filtering

被引：776

作者：

Djuric, PM ^{[1
]}

Kotecha, JH

Zhang, JQ

Huang, YF

Ghirmai, T

Bugallo, MF

Míguez, J

机构：

[1] SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA

[2] Univ Wisconsin, Madison, WI USA

[3] Guangdong Nortel, Res & Dev, Guangzhou, Peoples R China

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2003年 / 20卷 / 05期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/MSP.2003.1236770

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recent developments have demonstrated that particle filtering was an emerging and powerful methodology for sequential signal processing with a wide range of applications in science and engineering. It captured the attention of many researchers in various communities including those of signal processing, statistics, and econometrics, and this interest stems from its potential for coping with difficult nonlinear and/or non-Gaussian problems. This paper presents a brief review of the particle filtering theory, and then show how it can be used for resolving many problems in wireless communications.

引用

页码：19 / 38

页数：20

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