提出了一种新的多目标角度、功率联合跟踪算法。首先,利用高分辨处理估计出目标的个数、初始角度、初始功率及噪声功率。接着,通过相邻时刻估计得到的协方差矩阵的差推导出了一组关于角度差和功率差的线性方程组,重复解方程组可以得到不同时刻各个目标的角度以及功率。该算法可以减小阵元噪声带来的影响,在跟踪过程中,不需要进行子空间分解,参数自动配对,而且相邻时刻估计得到的角度和功率之间是自动关联的,省去了运算量较大的数据关联过程。进一步,给出了一种修正方法减小了算法中三个近似带来的误差。仿真结果表明,该算法的运算量低,跟踪精度高。

A new multiple targets tracking algorithm based on angle and power is proposed in this paper. Firstly, by using high-resolution method, the algorithm can estimate the number of targets, initial angles as well as the initial power and noise power. Secondly, a set of linear equations which stand for angle and power difference are derived by adjacent time covariance matrix. After that, each target's angle and power can be solved from the equations with different time. Besides, this algorithm can reduce the noise influence of small array during tracking process. This algorithm doesn't need a subspace decomposition while can achieve the results of parameters automatically paired. For the reason that angle and power are automatically associated, the algorithm can omit the association process which require large computation burden. Furthermore, a modification method is introduced to reduce the error results from three approximations. Finally, simulation results show that the proposed algorithm has low computation complexity as well as high tracking precision.