| 粒子群优化算法在天线方向图综合中的应用 |
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| 引用本文： | 王维博,冯全源.粒子群优化算法在天线方向图综合中的应用[J].电子科技大学学报(社会科学版),2011(2). |
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| 作者姓名： | 王维博 冯全源 |
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| 作者单位： | 西南交通大学信息科学与技术学院;西华大学电气信息学院; |
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| 基金项目： | 国家自然科学基金重大项目(60990320,60990323); 国家863计划(2009AA01Z230) |
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| 摘 要： | 针对目前粒子群优化算法在多零点低旁瓣约束的阵列天线方向图综合中早熟收敛、易陷入局部极值的问题,提出了一种改进的粒子群优化算法MSPSO,在多子群、层次化的模型中采用von Neumann邻域结构,以改善收敛速度和优化精度。建立一种新的目标函数模型,对顶层和底层的子群分别采用适合其特点的适应值目标函数,平衡了算法的全局和局部搜索能力。仿真结果表明,将该算法应用于阵列天线方向图综合中,取得了很好的优化效果。
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| 关 键 词： | 阵列天线 进化算法 层次化 粒子群优化算法 |
Application of PSO Algorithm to Antenna Array Pattern Synthesis |
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| WANG Wei-bo, FENG Quan-yuan.Application of PSO Algorithm to Antenna Array Pattern Synthesis[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2011(2). |
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| Authors: | WANG Wei-bo FENG Quan-yuan |
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| Institution: | WANG Wei-bo1,2 and FENG Quan-yuan1(1.School of Information Science & Technology,Southwest Jiaotong University Chengdu 610031,2.School of Electric Information,Xihua University Chengdu 610039) |
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| Abstract: | According to the prematurity and easily trapping in local optimum by using particle swarm optimization(PSO) in the pattern synthesis of antenna arrays with sidelobe reduction and nulls control,a multiple subpopulation PSO algorithm(MSPSO)is presented in this paper.The MSPSO algorithm is built by employing the strategy of hierarchy and subpopulation with neighbor structure of von Neumann to improve the convergence speed and accuracy.A modified objective function model that adopts different fitness functions ... |
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| Keywords: | antenna arrays evolutionary algorithms hierarchy particle swarm optimization |
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