基于多重混合遗传算法的MIMO雷达天线布阵优化  

Optimizing Antenna Array Geometry in MIMO Radar Using Multiple Hybrid Genetic Algorithm

作　　者：和洁[1] 冯大政[1] 李晓明[1] 

机构地区：[1]西安电子科技大学雷达信号处理重点实验室,西安710071

出　　处：《微波学报》2010年第4期55-60,共6页Journal of Microwaves

基　　金：国家自然科学基金项目(60672128)

摘　　要：研究正交MIMO雷达在给定发射、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问题。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,提出了一种与模拟退火算法相结合的多重混合遗传布阵优化方法。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 aperture of transmitting and receiving arrays and the number of elements,the optimization of array pattern synthesis in orthogonal 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）,an optimizing antenna array geometry method using multiple hybrid genetic algorithm（MHGA） which is combined with simulated annealing（SA） is proposed.To maximize the number of degrees of freedom,by introducing distance perturbations,both transmitting and receiving antennas array geometries are modified synchronously by the multiple genetic algorithm,with which the problem of pattern synthesis in orthogonal MIMO radar with lower relative sidelobe level and escaping the local minimum is solved effectively.Computer simulation results indicate the validity of the introduced methods.

关 键 词：MIMO雷达 自由度 混合遗传算法 方向图综合 

分 类 号：TN957.2[电子电信—信号与信息处理]