基于混沌粒子群算法的宽零陷方向图综合方法

摘要

自适应阵列天线常需要采用宽零陷技术,以增强阵列天线抗干扰的稳健性.为此,提出了一种基于混沌粒子群算法(CPSO)的阵列天线宽零陷方向图综合方法.该算法首先采用混沌序列初始化粒子位置,以增强搜索多样性,并在对部分非优胜粒子的位置更新时引入混沌扰动项,在每次迭代中对全局最优位置进行变尺度混沌优化,提高了全局和局部搜索能力,加快了收敛速度.仿真结果验证了混沌粒子群算法在阵列天线宽零陷方向图综合时的收敛速度和精度方面均优于标准粒子群算法.%In order to overcome the limitation of slow convergence and sensitivity to local convergence when using particle swarm optimization (PSO) to solve antenna pattern synthesis problem with broad nulls, a chaos particle swarm optimization (CPSO) is proposed. The chaos search technique is introduced into PSO by combining the chaos initialization and perturbation with operations of PSO. The high precision and good ergodicity of chaos search can increase PSO's convergence speed and solution quality. The experimental results for linear array show that the proposed algorithm is significantly improved compared to the particle swarm optimization (PSO).