多目标跟踪的分布式MIMO雷达最少阵元选取算法

针对分布式多输入多输出(multiple input multiple output, MIMO)雷达在多任务模式下对目标快速跟踪的需求,结合“低慢小”目标的特点,提出了基于多目标位置跟踪的收发阵元选取算法。首先,以选取最小的阵元集合为代价函数,在指定的位置估计精度的约束下,建立了阵元选取的优化模型。然后,将该优化问题看作成背包问题,提出了改进的阵元选取算法对模型进行求解。仿真结果表明,所提算法能够在降低系统计算量的同时,实现系统可接受的选取性能。此外,目标位置估计精度要求越高,其优势越明显。因此,所提算法有利于对多目标的快速跟踪。

Minimal antenna selection algorithm in distributed MIMO radar system for multiple targets tracking

Considering the demand of targets fast tracking under the multiple tasks mode in distributed multiple input multiple output (MIMO) radar system, and combining the characteristics of the low altitude, slow speed, small target (LSS-target), an antenna selection algorithm based on multiple targets localization is proposed. Firstly, a cost function selecting the smallest antenna collection is described. Then, under the constraint of given location accuracy, an antenna selection model is established as a knapsack problem (KP) and the corresponding optimization problem is solved by a modified algorithm proposed in this paper. The simulation results indicate that the proposed algorithm may achieve acceptable selection performance with lower computational complexity. Moreover, the higher the target localization accuracy is, the more obvious the advantages are. Thus the proposed algorithm contributes to multiple targets fast tracking.