基于遗传算法和禁忌搜索的MIMO雷达天线布阵优化

摘要

研究MIMO雷达在发射、接收天线孔径长度和阵元数目固定等约束条件下的天线方向图综合.MIMO雷达采用稀布天线,为了克服栅瓣效应并且降低旁瓣电平,同时为了避免遗传算法早熟收敛,进入局部最优,提出了一种基于遗传算法和禁忌搜索的混合二次优化布阵方法.该方法为了保证系统最大自由度,引入了距离扰动,同时对发射天线和接收天线的位置进行两次优化,有效解决了MIMO雷达天线方向图综合中低旁瓣电平设计问题.仿真结果证明了所提算法的有效性和优越性.%For the constraints of the number of elements and the limited apertures of transmitting and receiving arrays, the optimization of array pattern synthesis in multi-input multi-output (MIMO) radar where sparse arrays are used is presented. In order to lower the sidelobe level and to prevent the premature convergence of the genetic algorithm (GA), based on GA and tabu search (TS), an optimizing antenna array geometry method using two-layer optimazi-ton is proposed. To maximize the number of freedom degrees, by introducing distance perturbations, both transmitting and receiving antennas array geometries are modified twice synchronously by the proposed algorithm. The problem of pattern synthesis is solved in orthogonal MIMO radar with the lower relative sidelobe level, escaping the local minimum. Simulation results indicate that the method is effective.