遗传-和声搜索算法下的MIMO雷达正交多相码设计

Design of MIMO Radar Orthogonal Polyphase Code Based on Genetic-Harmony Search Algorithm

针对现有多输入多输出(MIMO)雷达正交多相码的设计中存在的自相关旁瓣峰值和互相关峰值高、算法收敛速度慢的问题,提出了一种基于遗传-和声搜索算法的MIMO雷达正交多相码设计方法。该算法将和声搜索算法和遗传算法相结合,在遗传算法多次迭代获得一个较好的初始解的基础上,再使用和声搜索算法进一步搜寻邻近区域可能的解。该算法既具有遗传算法全局寻优的特性,又具备和声搜索算法的邻域寻优特性。所提方法能够加快发射信号自相关旁瓣峰值和互相关峰的收敛速度,同时增大主瓣和旁瓣的比值。仿真实验的结果证明了所提混合算法的优良性能。

To solve the problems of high autocorrelation sidelobe peak,high cross-correlation peak,and low convergence rate of the algorithm in the orthogonal polyphase code design for Multiple Input Multiple Output（ MIMO） radar,a method based on the Genetic Algorithm（ GA） and the Harmony Search（ HS） algorithm is proposed for the design of the orthogonal polyphase code of MIMO radar.Each time when the GA has been optimized to a certain extent after iterating several times,the HS algorithm is used to search possible solutions in its neighborhood.This hybrid algorithm possesses the global convergence ability of GA and the neighborhood search ability of the HS algorithm.By adding the HS algorithm,the convergence rates of the autocorrelation sidelobe peak and the cross-correlation peak are faster,and the mainlobe-to-sidelobe ratio is higher.Simulation results show that the proposed method is feasible and effective.