Immune Algorithm in Array-Pattern Synthesis with Side lobe Reduction
An improved immune algorithm (IA) is proposed for pattern synthesis of antenna array with arbitrary geometric configuration. Unlike simple IA,the proposed IA uses Gauss mutation and adaptive clonal scale control function to enhance the searching performance. The Gauss mutation enhance the probability of optimal value searching by increasing the diversity of antibodies,while the adaptive control function of clonal scale restricts the rapid expansion of antibody scale caused by Gauss mutation. The array position and excitation amplitude are successfully optimized to obtain low side lobe of both linear and planar arrays. The approach based on IA can be used as an efficient method for pattern synthesis of array.
Ye Jianfeng Pang Weizheng Zhang Jun
School of Information and Communication Engineering Harbin Engineering University Harbin 15001,China Jiuquan Satellite Launch Center LanZhou,Gansu Province,732750,China
国际会议
2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)
南京
英文
1127-1130
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）