采用遗传算法的MIMO雷达L型阵列稀布优化

针对多输入多输出（MIMO）雷达阵列稀布导致栅瓣效应的问题，研究了L型阵列方向图综合方法。通过在发射和接收阵列的阵元位置中引入随机扰动，同步优化收发阵列，对MIMO雷达Ｌ型阵列等效构造的虚拟矩形平面阵列进行二维方向图综合，并且对遗传算法的变异算子进行改进，提高全局搜索性，从而有效抑制栅瓣，降低二维合成方向图中方位维和俯仰维的峰值旁瓣电平。仿真实验证明了所提算法的有效性。

L-shape sparse array optimization based on genetic algorithm in MIMO radar

In order to avoid the grating lobe effect in multiple-input multiple-output(MIMO) radar caused by array sparse distribution,a synthesis and optimization algorithm of L-shape sparse array in MIMO radar is proposed. Two-dimensional pattern synthesis is achieved with L-shape sparse array in MIMO radar which is equivalent to virtual rectangular plane array. Both the transmitting and receiving antenna array geometries are optimized through introducing a random perturbed variable,so that the grating lobe can be suppressed and two-dimensional pattern synthesis with lower relative sidelobe levels in both azimuth and elevation dimensions can also be obtained. In the proposed method,mutation operation in classic genetic algorithm is modified to enhance the global search capability. Simulation results indicate the validity of the proposed methods.