火力与指挥控制2011，Vol.36Issue(12)：31-33,3.
基于均值漂移交互多模型粒子滤波算法
Mean Shift IMM Paticle Filtering Based on Mean Shift IMM for Target Tracking
摘要
Abstract
To reduce the computation burden of IMMPF, the Mean Shift and particle filter were combined. The mean shift technique was used to estimates the gradient of the approximated density and moved particles toward the modes of the posterior* leading to a more effective allocation of particles thereupon fewer particles were needed and the computational demand was reduced. The performance were analyzed by comparison with the IMM-PF. Simulation results show that IMM-MSPF algorithm can reduce computation burden. Further more, the track accuracy of the algorithm can also be effectively improved.关键词
均值漂移/粒子滤波/被动跟踪Key words
mean shift .particle filtering, passive tracking分类
信息技术与安全科学引用本文复制引用
陈国良,康健,张仲凯,芮国胜..基于均值漂移交互多模型粒子滤波算法[J].火力与指挥控制,2011,36(12):31-33,3.基金项目
国家自然科学基金资助项目(60541001) （60541001）
