Particle Filter with Fine Resampling for Bearings-Only Tracking

被引：2
|
作者：
Cao, Bei [1 ]
Ma, Caiwen [1 ]
Liu, Zhentao
机构：
[1] Xian Inst Opt & Precis Mech CAS, Xian 710119, Peoples R China
来源：
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷
关键词：
particle filter; bearings-only tracking; fine resampling; optimized combination;
D O I：
10.1016/j.proeng.2012.01.553
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
To solve the nonlinear filtering problem in the Bearings-Only Tracking (BOT), an improved particle filter with fine resampling is proposed, called as PF-FR (Particle Filter with Fine Resampling). By introducing distance-comparing process and generating new particle based on optimized combination scheme, PF-FR filter performs better than generic PF-SIR filter both in terms of effectiveness and diversity of the particle system, hence, evidently enhancing tracking accuracy in bearings-only tracking problem. Simulations indicate that the proposed PF-FR algorithm is effective. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology
引用
收藏
页码：3685 / 3690
页数：6
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