Immune Algorithm in Pattern Synthesis of Linear Array

摘要：

Immune algorithm (IA) is presented for pattern synthesis of linear array in this paper. IA is an efficient approach to escape from local minima and maxima which is suited for multi-objective optimization. Logistic mapping is used for enhancing the diversity of the initial antibody colony with the advantages of randomicity, ergodicity and initial sensitivity. Further more, gauss function is applied in the mutation process to improve the searching efficiency. For the examples of applying IA in linear array synthesis, sidelobe level (SLL) reduction and null steering are optimized, and well results show the fine validity of the proposed IA.

关键词： immune algorithm chaos sequence:pattern synthesis:linear array

作者: Ye Jian-feng Wang Yu-feng

作者单位: Department of Electronic Communication Technology,Shenzhen Institute of Information Technology,Shenzhen,518029,China

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 358-361

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）