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基于随机集的RBPF多目标关联跟踪算法
引用本文:赵欣,姬红兵,杨柏胜.基于随机集的RBPF多目标关联跟踪算法[J].电子学报,2011,39(3):505-510.
作者姓名:赵欣  姬红兵  杨柏胜
作者单位:1. 西安电子科技大学电子工程学院,陕西西安 710071;2. 中国航天科技集团公司第四研究院401所,陕西西安 710071
基金项目:国家自然科学基金(No.60677040)
摘    要:针对大量杂波环境下数量变化的纯角度多目标航迹关联跟踪问题,提出一种新的基于Rao-Blackwellized粒子采样(RBPF)航迹关联的高斯混合概率假设密度(GMPHD)滤波算法.算法首先利用GMPHD在每时刻对多个目标组成的随机集合进行估计;然后利用基于随机有限集的RBPF对GMPHD所得到的目标集合进行检测和关联...

关 键 词:Rao-Blackwellized粒子滤波  多目标跟踪  概率假设密度滤波  航迹关联
收稿时间:2008-10-22

Rao-Blackwellized Particle Filter Based on Random Finite Sets Theory for Multi-Target Association and Tracking
ZHAO Xin,JI Hong-bing,YANG Bai-sheng.Rao-Blackwellized Particle Filter Based on Random Finite Sets Theory for Multi-Target Association and Tracking[J].Acta Electronica Sinica,2011,39(3):505-510.
Authors:ZHAO Xin  JI Hong-bing  YANG Bai-sheng
Affiliation:1. Xidian University,Xi’an,Shaanxi 710071,China;2. CASC 401 Acakemy,Xi’an,Shaanxi 710071,China
Abstract:Due to the difficulty in association and estimation of multi-target tracks in the presence of data association uncertainty,clutter,noise and miss-detection.In this paper,a novel data association probability hypothesis density(PHD) filter for multi-target tracking based on Rao-Blackwellized particle filter(RBPF) algorithm is proposed.Firstly,the Gaussian mixture probability hypothesis density(GMPHD) filter has been proposed to estimate the set of all targets at every time step.Secondly,the data-association f...
Keywords:Rao-Blackwellized particle filter  multi-target tracking  probability hypothesis density filter(PHD)  track-to-track association  
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