文档介绍：�l. 40,�. 1 火力与指挥控制第 40 卷第 1 期
Jan,2015 Fire �ntrol & �mmand �ntrol 2015 年 1 月
文章编号:1002-0640(2015)01-0058-04
基于凸- 改进遗传算法的圆阵列方向图联合优化
袁飞,杨波,黄中瑞
(合肥电子工程学院,合肥 230037)
针对圆形阵列方向图具有较高旁瓣的问题,提出一种新的基于凸优化和改进遗传算法的优化方法该
摘要: 。
方法首先采用遗传算法将阵元位置和阵元权值作为优化变量,以最小化波束方向图峰值旁瓣为目标函数进行联合
优化,既增加了变量的自由度,又符合理论意义上的全局寻优;同时,为了避免算法的早熟收敛,对基本遗传算法进
行了必要的改进然后采用凸优化方法对阵元权值进行二次优化可进一步降低旁瓣电平,与传统方法相比能够明显
。
提高优化效果的稳定性仿真数据证实了该方法的有效性和正确性
。。
关键词:圆形阵列,凸优化,遗传算法,联合优化,旁瓣电平
中图分类号:T� 文献标识码:A
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YUAN Fei,YANG Bo,HUANG Zhong�ui
( , 230037, )
Hefei Electronic Engineering Institution Hefei China
Abstr�t: ,
To solve the high sidelobe level of circular arrays an optimum method based on ic
,
algorithm and convex optimization is presented in this paper. First it makes the location of the array
element and the coefficient as joint variables and minimizing the highest sidelobe as its fitness function
via ic algorithm. And the traditional ic algorithm must be modified in order to avoid
,
premature convergence. And then the object function can be farther minimum via convex optimization.
,
Compared with the existing pattern synthesis method it can enhance the stability of the optimum
results. Computer simulation demonstrates the efficiency and accuracy of this method.
�y w�ds :circular arra