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| 基于概率数据关联与粒子滤波的多目标跟踪算法 | |
| 引用本文： | 王琳,寇英信,于雷,赵思宏.基于概率数据关联与粒子滤波的多目标跟踪算法[J].系统仿真学报,2011,23(11):2449-2454. |
| 作者姓名： | 王琳 寇英信 于雷 赵思宏 |
| 作者单位： | 1. 总参陆航研究所,北京,101121 2. 空军工程大学工程学院,西安,710038 3. 空军航空大学航理系,长春,130022 |
| 基金项目： | “十一五”国防预研基金项目(KJ-050402011); 航空科学基金项目(20085196011) |
| 摘 要： | 提出一种基于概率数据关联和改进粒子滤波的多目标跟踪算法。该方法在分析关联区域内有效量测基础上，利用量测与目标预测位置的统计距离计算关联概率；然后，对粒子滤波器进行改进，将目标的最新量测和状态的高斯逼近组合在一起，对每个粒子采用类似于卡尔曼滤波的方式产生高斯建议分布。以比提高目标状态的估计精度；最后，将所有有效量测的估计结果按照关联概率进行咖权，从而实现多目标跟踪。仿真结果表明，该算法用于复杂环境下的多目标跟踪精度较高，不仅降低了关联概率的计算难度，而且可以准确地进行数据关联，具有一定的工程应用价值。 |
| 关 键 词： | 概率数据关联 改进粒子滤波 多目标跟踪 关联概率 |
Study of Multiple Target Tracking Algorithm Based on Probabilistic Data Association and Particle Filter Technique |
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| WANG Lin,KOU Ying-xin,YU Lei,ZHAO Si-hong.Study of Multiple Target Tracking Algorithm Based on Probabilistic Data Association and Particle Filter Technique[J].Journal of System Simulation,2011,23(11):2449-2454. | |
| Authors: | WANG Lin KOU Ying-xin YU Lei ZHAO Si-hong |
| Institution: | WANG Lin1,KOU Ying-xin2,YU Lei2,ZHAO Si-hong3(1.Army Aviation Institute,Beijing 101121,China,2.The Engineering College,Air Force Engineering University,Xi'an 710038,3.Air Force Aero University,Changchun 130022,China) |
| Abstract: | A multiple target tracking algorithm based on probabilistic data association and improved particle filter was proposed.On the basis of analysis effective observations in the association region,the association probability was calculated depending on the statistical distance between each measure and the predicted position of target.Then,the particle filter was improved.The new measurements of targets and Guass approach of targets state were combined together,and kalman filter was used to produce Guass advised... |
| Keywords: | probability data association improved particle filter multiple target tracking association probability |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |