WOA算法的非均匀稀布阵列优化方法  

Synthesis of Non-uniform Linear Array Antenna Based on WOA

作　　者：袁鹏亮 史朝[3] 

机构地区：[1]庆阳职业技术学院能源工程系,甘肃庆阳745000 [2]西北工业大学电子信息学院,陕西西安710129 [3]成都信息工程大学电子工程学院,四川成都610103

出　　处：《无线电工程》2017年第10期53-58,共6页Radio Engineering

基　　金：国家自然科学基金资助项目(41505031);甘肃省高等学校科研基金资助项目(2016B-190)

摘　　要：鲸算法(Whale Optimization Algorithm,WOA)是最近新提出的一种仿生算法,具有操作简便、搜索快速的突出特点,有非常优异的应用前景。在阵列综合方面,WOA算法还没有引起重视,目前所知,还没有具体的应用文献记录发表。就WOA在阵列综合的非均匀线阵综合方法进行了有益的探索,通过对算法的适当改进和拓展,将WOA应用到非均匀阵列的约束性问题的优化上,主要实现了对非均匀阵列的阵元间距和数目约束的二元约束问题与主波束宽度的约束问题的优化。仿真结果表明,WOA算法对于非均匀稀布阵列的约束性优化问题是有效的,并且与GA和PSO算法等进化算法相比,WOA算法在计算速度和稳健性上有更大的优势。The WOA（ whale optimization algorithm） is recently proposed as a new algorithm,which has promising application in the future due to its key characteristics of convenience and efficency. Research on this subject is not appear in public so far. In this paper,the application of WOA in synthesis of nonuniform linear array is described in detail,both in the sparsing of nonuniform linear array and in the supressing sidelobe level.The results show that WOA is effective on constraining synthesis of nonuniform sparse array,and outperforms other evolutionary algorithm such as GA and PSO in the characteristics of computing time and robust performance.

关 键 词：鲸算法 阵列综合 非均匀线阵 稀布化 

分 类 号：TN821[电子电信—信息与通信工程]