基于整数编码遗传算法的稀疏阵列综合

何学辉; 朱凯然; 吴顺君

doi:10.3724/SP.J.1146.2009.01242

基于整数编码遗传算法的稀疏阵列综合

doi: 10.3724/SP.J.1146.2009.01242

基金项目:

国家自然科学基金(60971108)资助课题

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出版历程
- 收稿日期: 2009-09-18
- 修回日期: 2009-12-11
- 刊出日期: 2010-09-19

Thinned Array Synthesis Based on Integer Coded Genetic Algorithm

摘要

摘要: 该文针对稀布阵列综合问题，提出一种基于整数编码遗传算法的优化设计方法。采用整数编码的个体描述方式在保证阵元稀布率恒定的同时，减小了搜索的空间。在优化阵元分布的基础上采用凸优化方法进一步优化阵列权值，显著提高了阵列方向图的主副瓣比。仿真数据结果验证了方法的有效性和优越性。
- 遗传算法 /
- 稀布阵 /
- 方向图综合 /
- 整数编码
Abstract: For the issue of thinned array synthesis, an optimized design method of genetic algorithm based on integer code is proposed. By the application of individual description manner using integer coding, the search space is greatly reduced on the premise of elements thinned ratio is maintained constant. Base on the optimal array in elements position distribution, the weight is further optimized with convex optimization, which improves the main-side-ratio of array pattern significantly.The validity and superiority of method is confirmed by the result of the simulation data.
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