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一种耦合检测和JPDA滤波的多目标跟踪算法 被引量：3

Integration of Detection with JPDAF for Multi-Target Tracking
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摘要 传统雷达信号处理中对目标的检测和跟踪是割裂处理的,通常为先检测后跟踪(DBT);当目标的信噪比较低时,检测过程中将出现大量的虚警及漏检,使得后继的跟踪算法失效。针对这一问题,在联合处理检测和跟踪方法的基础上,提出了一种耦合贝叶斯检测和联合概率数据关联(JPDA)滤波的多目标跟踪算法(JPDAF-BD)。JPDA滤波器将目标的位置分布信息反馈到贝叶斯检测器,继而贝叶斯检测器将该反馈作为先验信息用于检测判决。仿真结果表明,所提出的JPDAF-BD算法较之传统DBT体制下的多目标跟踪算法(JPDAF-NP)有显著的性能提升,可以实现更低信噪比下的多目标检测和跟踪。 Target detection and tracking in conventional radar signal processing are treated separately, namely detection before tracking（DBT）.When the signal to noise ratio is low,the tracking algorithm will not work because of too many false alarms and missed alarms in the detection.In view of this problem,the method of coupling detection and tracking is studied,and an integration of Bayesian detection with JPDAF （JPDAF-BD）algorithm is proposed.JPDA filter provides the posterior distribution of the targets location to the detector,then the Bayesian detector utilizes the feed-back as prior information.Simulation results show that the proposed JPDAF-BD can detect and track multi-target successfully in lower SNR in comparison with the traditional multi-target tracking algorithm（JPDAF-NP）,which obtains considerable performance improvement.
作者 王云奇 孔令讲 易伟 杨晓波
机构地区 电子科技大学电子工程学院
出处 《雷达科学与技术》 2014年第2期143-148,共6页 Radar Science and Technology
基金 国家自然科学基金(No.61178068) 新世纪优秀人才计划(No.A1098524023901001063)
关键词 检测后跟踪 贝叶斯检测 多目标跟踪 联合概率数据关联 detection before tracking（DBT） Bayesian detection multi-target tracking joint probabi-listic data association（JPDA）
分类号 TN953 [电子电信—信号与信息处理] TN957 [电子电信—信号与信息处理]
作者简介 王云奇男，1991年生于河北邯郸，硕士研究生，土要研究方向为榆测和跟踪联合优化技术。Email：wamgyq@163．com 孔令讲 男，1974年生于河南南阳，博士，现任电子科技大学电子工程学院教授、博士生导师，主要研究方向为新体制雷达系统设计、目标检测估计和统计信号处理． 易伟男，1983年生，博士，现任电子科技大学电子工程学院讲师，主要研究方向为微弱目标检测前跟踪技术。 杨晓波男，1964年生，博士，现任电子科技大学电子工程学院教授、博土生导师，主要研究方向为甫达系统、雷达成像信号处理。
  • 相关文献

参考文献12

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二级参考文献10

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同被引文献21

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