现代雷达2017，Vol.39Issue(3)：59-61,65,4.DOI:10.16592/j.cnki.1004-7859.2017.03.013
基于自适应遗传算法的稀布阵天线优化
Optimization of Sparse Array Based on Adaptive Genetic Algorithm
摘要
Abstract
Sparse array plays an important role in the design of real radar system because of its low cost and system complexity.However,it has higher side-lobe level.In order to obtain lower side lobe level,an optimization method of sparse array is proposed based on adaptive genetic algorithm(AGA).The genetic algorithm's performance will be improved by using a real-valued coding and adaptive processing of genetic operator.The results of process and simulation by computer show that lower side-lobe lever can be achieved with this method.关键词
稀布阵/自适应遗传算法/阵列优化/遗传算子Key words
sparse array/adaptive genetic algorithm/pattern synthesis/genetic operator分类
信息技术与安全科学引用本文复制引用
李蕾,王建明,伍光新,龙伟军..基于自适应遗传算法的稀布阵天线优化[J].现代雷达,2017,39(3):59-61,65,4.
