摘要
点航间的关联算法是雷达跟踪多目标的核心,而传统的数据关联算法都存在各自的不足。最近邻域(Nearest Neighbor,NN)法的关联逻辑简单、容易误跟踪,联合概率数据互联(Joint Probabilistic Data Association,JPDA)计算复杂、工程不易实现,导致雷达在复杂场景下无法正确关联目标点迹进而跟踪丢失,抑或实时性太差无法直接应用在产品上。提出了一种基于模糊估计和最大权值匹配的多目标跟踪算法。算法在跟踪过程中起始当前态势所有航迹。将探测到的量测点迹和态势中所有航迹进行模糊匹配并建立关联权值矩阵,以矩阵总关联权值最大为目标,采用Kuhn-Munkres算法从关联权值矩阵中获取能够使全局权值最大的点航迹匹配组合。通过仿真与NN法、JPDA对比,在实测数据中应用了所提算法。实验结果表明,该算法能够解决多目标跟踪的关联错误问题,在实际应用中能够避免杂波和其他航迹的影响而保持对目标的稳定跟踪,计算量可接受,具有较好的工程应用前景。
Plot-track association algorithm is the core of radar multi-target tracking,and traditional data association algorithms,such as Nearest Neighbor(NN)Data Association and Joint Probabilistic Data Association(JPDA),have problems such as simple association logic or complex calculation.As a result,in complex scenarios,radar systems often fail to realize target plot-track association,leading to loss of tracking.Additionally,the real-time performance is often too poor for direct deployment in real-world products.A multi-target tracking algorithm based on fuzzy estimation and optimal weight matching is proposed.The algorithm first starts all tracks in the current situation during the tracking process.Then,the detected measurement plots and all the tracks in the situation are fuzzily matched and an association weight matrix is established.Finally,with the objective of maximizing the total association weight of the matrix,the Kuhn-Munkres algorithm is used to obtain the optimal matching measurement plots of all tracks that maximizes the global weight from the association weight matrix.Finally,the simulation is compared with NN and JPDA,and the proposed algorithm is applied in the measured data.Experimental results show that the proposed algorithm not only solves the problem of tracking error caused by association error,but can also avoid the influence of clutter and other tracks in practical applications and maintain stable tracking of targets.Moreover,its computational load remains within acceptable limits,demonstrating strong potential for engineering deployment.
作者
薛俊杰
刘良玉
XUE Junjie;LIU Liangyu(Shanghai Aerospace Electronics Technology Research Institute,Shanghai 201109,China)
出处
《无线电工程》
2025年第6期1335-1341,共7页
Radio Engineering
基金
国家部委基金资助项目。
