火力与指挥控制Issue(z1)：98-101,4.
基于随机有限集的多目标跟踪算法
Research on Multi-target Track Based on Random Finite Sets
鞠园 1鹿乐 1蔡亮 1刘磊 1王星1
作者信息
- 1. 北方信息控制集团有限公司，南京 211153
- 折叠
摘要
Abstract
Multiple targets track based on finite sets statistic is studied. Probability Hypothesis Density (PHD)filter simulates Multi-target Bayesian recursion via propagating the first moment of multi-target posterior probability,and acquires good results. The cardinalized PHD (CPHD) filter is proposed to overcome the excessive sensitivity in missing detection situation during PHD recursion,which jointly propagates the posterior intensity and the posterior cardinality distribution,and is a generalization for PHD filter. The Gaussian mixture implementation of the PHD and the CPHD filter are presented to analyze and compare their performance. Simulation results show that the CPHD filter is more reliable and accurate due to its propagation of cardinality distribution,thus the overall performance of the CPHD filter is better than the PHD filter.关键词
多目标跟踪/随机有限集/PHD滤波/GM-CPHD滤波Key words
multi-target tracking/random sets theory/GM-PHD filter/GM-CPHD filter分类
信息技术与安全科学引用本文复制引用
鞠园,鹿乐,蔡亮,刘磊,王星..基于随机有限集的多目标跟踪算法[J].火力与指挥控制,2014,(z1):98-101,4.
