在密集回波环境下对多目标进行航迹起始和跟踪是一个很难解决的问题，对此提出一种基于m-best 2-D分配算法和广义似然比判决的多目标跟踪算法。数值仿真实验表明提出的多目标跟踪算法能够有效解决“量测-目标”数据关联问题，并且能在较短时间内发现假航迹，确认真航迹，大大减轻对系统的存储量、计算量的要求。

Due to some advent factors,tracking multiple targets in dense clutter becomes a difficult task,therefore,a new algorithm is presented in this paper which consists of m-best 2-D assignment algorithm and generalize likelihood ratio test.Simulated numerical examples are given,which demonstrate that this algorithm can solve the problem of "measurement-track" association efficiently,and discriminate the true or false track in short time which can reduce the need for storage and calculation enormously.

TN959

总装备部武器装备重点基金