基于改进粒子群算法的天线方向图综合技术  

The pattern synthesis of antennas based on a modified PSO algorithm

作　　者：金荣洪[1] 袁智皓[1] 耿军平[1] 范瑜[1] 李佳靖[1] 

机构地区：[1]上海交通大学电子工程系,上海200030

出　　处：《电波科学学报》2006年第6期873-878,共6页Chinese Journal of Radio Science

摘　　要：针对基本粒子群算法的早熟收敛、易收敛于局部极值的特点,提出一种改进的粒子群优化算法,采用对全局最佳微扰和惯性权重跳变阈值的设置改善了算法的优化速度和收敛精度。经过对一系列测试函数的计算,证明该方法具有良好的优化效果。最后,给出了该方法应用于阵列天线方向图综合中的模型和仿真实例。In order to overcome the drawbacks of standard particle swarm optimization （PSO） algorithm, such as prematurity and easily trapping in local optimum, a modified PSO algorithm is proposed, in which special techniques, as global best perturbation and inertia weight jump threshold are adopted. The convergence speed and accuracy of the algorithm are improved. The test by some benchmark problems shows that it achieves relatively high performance. Finally, applications of the modified PSO in the radiation pattern synthesis of antenna arrays are also presented.

关 键 词：粒子群优化算法 早熟收敛 阵列天线 方向图综合 

分 类 号：TN820.1[电子电信—信息与通信工程]