基于遗传算法的分时双极化阵列优化方法  

Time-sharing dual-polarized array optimization method based on genetic algorithm

作　　者：刘浩 马超[1] 刘传保[1] 刘伟[1] LIU Hao;MA Chao;LIU Chuanbao;LIU Wei(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)

机构地区：[1]南京电子技术研究所,南京210039

出　　处：《空天预警研究学报》2025年第2期99-101,108,共4页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH

摘　　要：分时双极化阵列由于增加了极化域抗干扰维度,具有抗干扰效果好、成本低等优点.当阵列采用简单极化交替分布的方式时,基本不会损失阵列孔径带来的角度分辨优势,但会带来栅瓣等影响,不利于工程使用.为此,采用遗传算法对阵列进行优化.首先对阵列中各个阵元的极化状态进行二进制编码,基于两种极化通道的方向图峰值旁瓣电平构造适应度函数;然后进行轮盘赌个体选择、单点交叉、随机变异等循环迭代操作,得到最新一代的最优个体.仿真结果表明,该方法收敛快速、稳健,优化后的阵列能够大幅降低栅瓣影响,且两种极化对应的阵列均充分利用了已有的结构孔径,工程应用价值大幅提升.The time-sharing dual-polarized array has the advantages of good anti-interference effect and low cost due to the increase of anti-jamming dimension in the polarization domain.When the array adopts a simple alternating polarization distribution,the angle resolution advantage brought by the array aperture is not lost,but the grating lobes and other effects may arise,which is not conducive to engineering use.To this end,genetic algorithm is used to optimize the array.Firstly,the polarization state of each element in the array is encoded in binary,and the fitness function is constructed based on the peak sidelobe level of the two polarization channels.Then the roulette individual selection,single point crossover,stochastic variation and other cyclic iteration operations are carried out to obtain the optimal individual in the latest generation.Simulation results show that this method converges rapidly and robustly,that the optimized array significantly mitigates grating lobe effects,and that the arrays corresponding to the two polarizations make full use of the existing structural aperture,with the engineering application value greatly increased.

关 键 词：分时双极化阵列 遗传算法 峰值旁瓣电平 

分 类 号：TN974[电子电信—信号与信息处理]