最小冗余MIMO声纳阵列结构优化仿真

摘要

研究多输入多输出( Multiple - Input Multiple - Output,MIMO)声纳阵列都是以均匀线列阵(Uniform Linear Array,ULA)为主,而非均匀线列阵列(Non - Uniform Linear Array,NLA)能产生更多的虚拟阵元,达到较高的目标检测分辨概率以及估计精度.为了提高检测和估计精度,提出了一种基于最小冗余阵列的MIMO声纳发射接收阵列结构优化算法建立阵列模型进行仿真.仿真结果表明,上述方法设计的MIMO声纳系统在目标分辨概率和估计误差方面性能均有提高,尤其在低信噪比条件下效果更好.%Currently, most researches about Multiple - Input and Multiple - Output ( MIMO) sonar array focus on uniform linear array (ULA), while the non- uniform linear array (NLA) can generate more virtual array element and improve the estimation performance. Based on the minimum redundancy array, an optimized design algorithm of MI-MO sonar transmit and receive array is studied in this paper. The simulation results show that the proposed minimum redundancy MIMO ( MR - MIMO) sonar possesses higher performance on target bearing resolution and estimation error than its phased - array counterpart, especially at low SNR .