基于改进风驱动优化算法的稀疏阵列旁瓣抑制方法  

Improved Wind Driven Optimization Algorithm for Sidelobe Suppression in Thinned Array

作　　者：金雪[1] 夏伟杰[1] 潘彦均 周建江[1] 

机构地区：[1]南京航空航天大学电子信息工程学院,南京211106

出　　处：《数据采集与处理》2017年第6期1169-1178,共10页Journal of Data Acquisition and Processing

基　　金：江苏省产学研前瞻性联合研究(BY2014003-14)资助项目;江苏省优势学科资助项目

摘　　要：针对阵列稀疏通常会引起波束方向图旁瓣电平抬高的问题,本文提出了一种基于改进风驱动优化算法和凸优化的稀疏阵列旁瓣抑制方法。该方法首先针对传统的风驱动优化(Wind driven optimization,WDO)算法缺少普遍适用的参数设置方案,提出了一种结合高斯分布的改进风驱动优化算法。将半圆阵方向图的峰值旁瓣电平作为目标函数,采用改进的WDO算法作为全局优化算法来优化阵元位置,同时采用凸优化算法作为局部优化算法来高效求解有效阵元的最优加权系数,确保了阵元位置和权值的理想匹配。仿真结果表明,在稀疏阵列阵元数一定的情况下,算法可有效降低旁瓣水平,具有更好的全局寻优能力和更快的收敛速度,为稀疏阵列的旁瓣抑制提供了有效的优化设计方法。Considering that array thinning usually causes the increase of sidelobe level in beam pattern, an optimization algorithm based on improved wind driven optimization （WDO） algorithm and convex optimization is proposed to achieve sidelobe suppression in thinned arrays. To solve the problem of lacking a u- niversal parameter selection scheme in original WDO algorithm, an improved WDO algorithm is given by combining WDO algorithm with Gaussian distribution. Then, the peak sidelobe level （PSLL） is taken in- to the semi-circular thinned array as objective function. To obtain a lower PSLL, the improved WDO al- gorithm is adopted as global optimization algorithm to optimize the distribution of elements in thinned ar- ray. At the same time, convex optimization is utilized as local optimization algorithm to effectively obtain the optimal coefficients of valid elements, which guarantees the perfect match of the elementsr positions and coefficients. Simulation results indicate that, under a given numbers of elements, the optimization algorithm could achieve sidelobe suppression effectively. Moreover, it has better global search capability and faster convergence speed. Therefore, the proposed optimization algorithm can be taken as an effective approach for thinned array design.

关 键 词：稀疏阵列 旁瓣抑制 高斯分布 风驱动优化算法 凸优化 

分 类 号：TN912[电子电信—通信与信息系统]