自动化学报2013，Vol.39Issue(7)：1152-1156,5.DOI:10.3724/SP.J.1004.2013.01152
基于混合采样的多模型机动目标跟踪算法
A Multiple Model Particle Filter for Maneuvering Target Tracking Based on Composite Sampling
摘要
Abstract
A novel multiple model particle filter based on composite sampling is presented,which can decrease the number of particles required in the multiple model particle filter.It is proved that the algorithm based on composite sampling is a kind of multiple model particle filter.The computational complexity of the algorithm is similar to that of single model particle filter.Simulation shows that compared with the existing multiple model particle filter,the computational complexity of the proposed filter is decreased greatly.关键词
机动目标跟踪/粒子滤波/多模型方法/混合采样Key words
Maneuvering target tracking/particle filter/multiple model method/composite sampling引用本文复制引用
王晓,韩崇昭..基于混合采样的多模型机动目标跟踪算法[J].自动化学报,2013,39(7):1152-1156,5.基金项目
国家重点基础研究发展计划(973计划)(2007CB311006),国家自然科学基金(61074176),国家自然科学基金创新研究群体科学基金(60921003)资助 （973计划）
Supported by National Basic Research Program of China (973 Program)(2007CB311006),National Natural Science Foundation of China (61074176),and Foundation for Innovative Research Groups of the National Natural Science Foundation of China (60921003) （973 Program）
