雷达科学与技术Issue(1)：44-50,7.DOI:10.3969/j.issn.1672-2337.2015.01.009
一种三维弹道目标跟踪的粒子滤波方法∗
A Particle Filter for 3D Ballistic Target Tracking
摘要
Abstract
A particle filter algorithm for three dimensional(3D)ballistic target tracking is given.Based on the standard particle filter(sampling/importance resampling,SIR),this algorithm uses an optimized im-portance function which is based on Bayes principle and local linear technique to combat particle degeneracy. Meanwhile,it incorporates a Metropolis-Hastings(MH)move step which is possible to gain the more suit-able samples to reduce particle impoverishment.Furthermore,the Kullback-Leibler divergence(KLD)inde-xes are used to evaluate the performance of different particle filters.Simulation results demonstrate that the KLD’s estimator between the particle clouds of the particle filter algorithm for 3D ballistic target tracking and the reference particle clouds(optimized truth)is smaller than the SIR.Therefore,the algorithm can be better than the standard particle(SIR)in tracking.关键词
弹道目标跟踪/粒子滤波算法/Kullback-Leibler距离/性能评估Key words
ballistic target tracking/particle filter/Kullback-Leibler divergence/performance evaluation分类
信息技术与安全科学引用本文复制引用
苏洲阳,程婷,何子述..一种三维弹道目标跟踪的粒子滤波方法∗[J].雷达科学与技术,2015,(1):44-50,7.基金项目
国家自然科学基金(No.61101171) （No.61101171）
中央高校基本业务费资助项目(No.ZYGX2013J021) （No.ZYGX2013J021）
