基于模糊离散粒子群算法的非均匀阵列优化(英文)  

Optimization of Unequally Spaced Antenna Arrays Using Fuzzy Discrete Particle Swarm Algorithm

作　　者：阳凯[1] 赵志钦[1] 聂在平[1] 

机构地区：[1]电子科技大学电子工程学院,成都610054

出　　处：《电子科技大学学报》2012年第1期43-47,共5页Journal of University of Electronic Science and Technology of China

基　　金：Supported by the National Natural Science Foundation of China(60927002);111 Project(B07046);the Fundamental Research Funds for the Central Universities(103.1.2 E022050205)~~

摘　　要：首次将模糊离散粒子群算法应用到稀疏阵列天线阵元位置优化上,以得到低的副瓣电平。与遗传算法等进化算法相比,模糊离散粒子群算法有参数少、易于执行的优点。为了尽量避免算法陷入局部最优,在优化中引入了混沌过程;同时用罚函数方法进行了主瓣约束。对于线性阵列的仿真结果表明,该方法能很好地处理离散问题。Aiming to obtain a low sidelobe of an array,fuzzy discrete particle swarm optimization（FDPSO） algorithm is firstly applied in the optimization of the element positions of thinned antenna arrays.Compared with some evolutionary algorithms such as genetic algorithm,the FDPSO has the advantages of less parameters and easier to be implemented.In order to avoid the algorithm being trapped into local optimum,a chaotic dynamic procedure is introduced in the optimization.A penalty approach is used in the constraint of the width of mainlobe.Simulation results of a linear array show that the algorithm can handle discrete problem properly.

关 键 词：天线综合 粒子群算法 罚函数 稀疏阵列 

分 类 号：TN011[电子电信—物理电子学]