摘要
通过对传统遗传算法应用在线阵波束方向图中进行分析,从编码方式、变异策略以及选择机制上提出了新的改进策略。改进后的算法减少了编码长度,增加了变异灵活性,更好的保持了种群中个体的多样性,加快了搜索和运算速度和收敛性能。对线阵波束方向图的零陷点生成和旁瓣抑制进行仿真,仿真结果表明改进算法与传统算法相比能明显减少遗传代数,能够更快地找到满意解。
Through analyze the traditional genetic algorithm applied on arraybeam pattern.The algorithm was improved in coding way, mutation strategy and choice mechanism.New algorithm reduced the coding length, increased variability of flexibility, better maintained the diversity of individuals, accelerated the search and the calculation speed and convergence performance.The simulation carded on line array beam pattern null point generating and suppression for sidelobe.The result showed that the improved algorithm is compared with the traditional ones, converges more quickly, find a satisfactory solution faster.
出处
《电子世界》
2012年第3期22-25,共4页
Electronics World
基金
湖南省高等学校科学研究项目(11C0369)资助
关键词
智能天线
波束形成
遗传算法
smart antenna
beam forming
genetic algorithm
