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基于重采样粒子滤波的目标跟踪算法研究

廖雪阳 任宏光 章惠君

航空兵器Issue(5):25-28,4.
航空兵器Issue(5):25-28,4.DOI:10.19297/j.cnki.41-1228/tj.2016.05.005

基于重采样粒子滤波的目标跟踪算法研究

Research on Target Tracking Method Based on the Resampling Particle Filter

廖雪阳 1任宏光 1章惠君1

作者信息

  • 1. 中国空空导弹研究院,河南洛阳 471009
  • 折叠

摘要

Abstract

The method of target tracking based on traditional particle filter performs well when esti-mating non-linear/non-Gaussian systems , however particles degeneration can occur .The particles degen-eration can be overcome by using residual resampling algorithm .Through the research on residual resam-pling algorithm , an improved residual resampling particle filter algorithm is presented in this article .The method which improves the residual resampling algorithm can avoid the resampling of residual particles , thus improving running efficiency and reducing computational complexity .Simulation results show that the effect of real-time target tracking of this improved algorithm is higher than that of residual resampling par -ticle filter.When there are more particles , the efficiency is more outstanding .

关键词

粒子滤波/残差重采样/运行效率/目标跟踪/粒子退化

Key words

particle filter/residual resampling/running efficiency/target tracking/particle degen-eration

分类

军事科技

引用本文复制引用

廖雪阳,任宏光,章惠君..基于重采样粒子滤波的目标跟踪算法研究[J].航空兵器,2016,(5):25-28,4.

航空兵器

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