基于阵元局部分布特征的MIMO雷达阵列设计方法

MIMO雷达采用多发多收的工作模式，减少了天线和收发模块的数量，降低了系统的成本和复杂性，被广泛应用于城市反恐、灾后救援等领域。针对现有二维MIMO雷达阵列存在旁瓣高、成像质量差的问题，本文提出了一种基于各天线单元局部特性的二维MIMO阵列设计方法，设计了等效阵元投影局部密度和二维局部密度两个优化对象，以及边界约束和最小间距约束两个约束条件，通过对方形均匀MIMO阵列进行迭代优化，得到旁瓣更低的阵列排布形式。仿真和实测实验结果表明，本文所设计的二维MIMO阵列的成像结果有更低的旁瓣，且在生命体征检测和人体姿态重构等雷达应用领域都有很好的探测性能，为人体目标的多域信息感知提供了可能。

MIMO Radar Array Design Method Based on Local Distribution Feature

MIMO radar adopts mult-input multi-output mode and reduces the number of antennas and transceiver modules and the cost and complexity of the system. It is widely used in urban anti-terrorism, post-disaster rescue and other fields. In view of the high sidelobe and the poor image quality of the existing two-dimensional MIMO radar array, this paper puts forward a kind of two-dimensional MIMO array design method based on the local characteristics of antenna element, designs two optimized objects of equivalent element projection local density and two-dimensional array local density, and two constraint conditions of the boundary constraint and the minimum distance constraint. By iterative optimization of the square uniform MIMO array, the array configuration with lower sidelobe is obtained. The simulation and experimental results show that the 2D MIMO array designed in this paper has lower sidelobe and good detection performance in radar application fields such as vital signs detection and human posture reconstruction, which provides the possibility for multi-domain information perception of human targets.