基于粒子群优化算法的阵列天线方向图综合

    Pattern Synthesis of Antenna Array Based on Particle Swarm Optimization

    • 摘要: 粒子群优化算法(PSO)是一种基于群智能的随机优化算法,其理论简单,参数少,易于实现,可用于解决大量非线性、不可微和多峰值的复杂问题。本文介绍了粒子群算法的基本原理和基本流程,研究了如何将这种方法应用于阵列天线的方向图综合上,给出了PSO 算法在阵列天线方向图综合的应用实例,结果表明粒子群算法在阵列天线方向图综合上有很好的应用前景。

       

      Abstract: Particle Swarm Optimization Algorithm is a stochastic optimization technique based on swarm intelligence. Itfeatures relatively simple principal and few parameters, therefore, it’s so easy to realize that a large amount of non-linear,non-differentiable and multi-peak-value complicated problems can be solved by the technique. Firstly, the basic principle and flow ofthe Particle Swarm Optimization Algorithm are introduced in this paper, and then how to apply this method to the antenna arraypattern synthesis is studied. Finally, an application instance using PSO in the antenna array pattern synthesis is given. The workingresults indicate a fine application prospect using PSO in the antenna array pattern synthesis.

       

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