空天预警研究学报2025，Vol.39Issue(2)：99-101,108,4.DOI:10.3969/j.issn.2097-180X.2025.02.005
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
摘要
Abstract
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 al-ternating 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 algo-rithm 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 con-verges 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 appli-cation value greatly increased.关键词
分时双极化阵列/遗传算法/峰值旁瓣电平Key words
time-sharing dual-polarized array/genetic algorithm/peak sidelobe level分类
信息技术与安全科学引用本文复制引用
刘浩,马超,刘传保,刘伟..基于遗传算法的分时双极化阵列优化方法[J].空天预警研究学报,2025,39(2):99-101,108,4.
