基于逐次剔除算法的多任务下分布式MIMO雷达有限阵元选取

Limited Antenna Selection of Distributed MIMO Radar Based on Successive Elimination Algorithm under Multi-Task

针对分布式MIMO雷达在目标检测及跟踪多任务下的阵元选取问题,提出一种逐次剔除最劣阵元的算法。首先将表征目标检测和跟踪性能的检测概率和目标位置估计误差界进行去量纲化处理,并引入权重参数以兼顾不同任务性能;其次以最小的阵元集合为目标函数,建立优化模型;最后逐次剔除对系统性能贡献最小的阵元,得到最优阵元集合。仿真结果表明,所提算法能够提供与穷举算法接近的检测和跟踪性能,并有效降低了系统计算量。

Aiming at the problem of antenna selection in multi-task of target detection and tracking for distributed MIMO radar,an algorithm of eliminating the worst array element step by step is proposed.Firstly,the detection probability and the error bounds of target position estimation which represent the performance of target detection and tracking are non-dimensionalized,and the weight parameters are introduced to take into account the performance of different tasks.Secondly,the optimization model is established with the minimum antennas set as the objective function.Finally,the antenna which contribute the least to the system performance is removed step by step to get the optimal antennas set.The simulation results show that the proposed algorithm can provide detection and tracking performance similar to the exhaustive algorithm,and effectively reduce the system computation.