中文摘要：

该文提出了一种新的多目标角跟踪算法。首先利用高分辨处理估计出目标的个数及其初始角度，接着通过对协方差矩阵的更新得到不同时刻各个目标的角度。该算法减小了阵元噪声的影响，相邻时刻估计得到的角度之间是自动关联的，省去了运算量较大的数据关联过程。此外，文中还提出了进一步提高性能的两种方法：通过引入预测值减小了算法中两个近似带来的误差；采用记忆跟踪法来处理有目标交汇的情况。仿真结果表明，该算法有较高的跟踪性能。

英文摘要：

In this paper a new multiple targets angle tracking algorithm is proposed. First, high：resolution method can be used to derive the number of targets and the targets, initial angles. Then the angle of each target at different time could be estimated by updating the covariance matrix estimated through the sensor outputs. In this algorithm, the angles estimated at conjoint time are auto associated, so the process of data association could be omitted. Furthermore, this paper presents two modified methods： one is that the predicted angles are introduced to decrease the errors caused by two approximations, and the other is that the memory track are used when some targets are crossed. Simulation results show the algorithm has high tracing performance.