现代雷达2025，Vol.47Issue(2)：103-109,7.DOI:10.16592/j.cnki.1004-7859.20230524001
稀布线阵双维度嵌套优化方法
Two-dimensional Nested Optimization Method for Sparse Linear Array
摘要
Abstract
The study on sparse array and sparse array design methods show that this type of methods can effectively suppress grating lobes phenomenon,save cost,and reduce system complexity.Aiming at the phenomenon of grating lobes observed in uniform linear arrays,an array model incorporating two-dimensional spatial information of array elements is proposed in this paper.By introducing two-dimensional perturbations,the spatial distribution of array elements is extended from the array axis direction to the array axis nor-mal direction,mitigating the constraints imposed by the minimum element spacing and expanding the search space for element posi-tion parameters.An iterative optimization framework for element spatial position parameters is constructed using a metaheuristic algo-rithm,alternately optimizing the two-dimensional spatial information of array elements to enhance the non-periodicity of the array and suppress the generation of grating lobes.Experimental results demonstrate that,under the conditions of a given array aperture,ele-ment count,and the occurrence of grating lobes in a corresponding uniform linear array,the proposed approach reduces the peak sidelobe level by 3.04 dB compared to the standard genetic algorithm and the basic particle swarm optimization optimized only in the array axis direction.关键词
稀布阵列/栅瓣抑制/阵列综合/粒子群优化算法/遗传算法Key words
sparse array/grating lobes suppression/array synthesis/particle swarm optimization(PSO)/genetic algorithm(GA)分类
信息技术与安全科学引用本文复制引用
刘新,闫毅,范亚楠,姚秀娟,李雪,牟娇..稀布线阵双维度嵌套优化方法[J].现代雷达,2025,47(2):103-109,7.基金项目
国家重点研发计划资助项目(2021YFC3090204) （2021YFC3090204）
