基于遗传优化的天线阵元LMS改进算法

Improved LMS Algorithm of Antenna Array Element Based on The Genetic Optimization

最小均方(LMS)算法是自适应阵列天线中得以广泛应用的阵列天线加权算法。提出了一种基于遗传优化的LMS改进算法,该基于遗传优化的最小均方(GA-LMS)算法充分结合了遗传算法的并行处理和全局搜索的优点。实验结果表明,与传统的LMS算法相比,GA-LMS算法具有良好的收敛性能,并可更好地抑制干扰信号,有效改善自适应阵列天线方向图的副瓣性能。

The least mean square （LMS） algorithm is one of the array antenna weighted algorithms in the adaptive array antenna. This paper presents an improved LMS algorithm based on the genetic optimization,the genetic algorithm（GA）-LMS algorithm adequately combines the advantages of the concurrent processing and the global search of the genetic algorithm. The experiment results show ：compared with the traditional LMS algorithm,GA-LMS algorithm has the perfect convergence at- tribute, and can suppress jamming signal better, improves the side-lobe performance of the adaptive arrays antenna pattern effectively.