摘要
阵列天线中阵元失效,其方向图的副瓣电平会升高、主瓣变宽。保留遗传算法前期迭代的最优个体为新初始种群对遗传算法进行改进,以加快收敛速度和防止最佳染色体缺失。并利用基于优势保留的改进遗传算法,针对-40dB的26单元阵列,随机缺失3单元后进行优化,恢复原方向图副瓣水平。结果表明,该算法能够有效减少阵元缺失后方向图的恶化。
The sidelobe level and beamwidth would go up when elements in array antenna are failed.The genetic algorithm is improved by keeping the optimal individuals as the new initial population.This algorithm could speed up the convergence and preserve the best chromosome.In addition,the 26-element array antenna with-40 dB side lobe level and 3 failed elements was corrected by the improved genetic algorithm based on advantage retention so as to restore the sidelobe level of the original pattern.The numerical results demonstrate that the algorithm can effectively reduce the deterioration of pattern.
作者
王子豪
鲁军
马俊涛
孙广宇
WANG Zi-hao;LU Jun;MA Jun-tao;SUN Guang-yu(College of Electric and Electronic Engineering,Shijiazhuang Tiedao University,Shijiazhuang050043,China;PLA Army Engineering University,Shijiazhuang050003,China)
出处
《微波学报》
CSCD
北大核心
2019年第4期72-75,91,共5页
Journal of Microwaves
基金
河北省自然科学基金(F2016506014)
关键词
阵列天线
遗传算法
副瓣电平
失效校正
优化
array antenna
genetic algorithm(GA)
sidelobe level
failure correction
optimization