基于改进风驱动算法的非等间距直线阵综合  

Unequally Spaced Linear Array Synthesis Using Modified Wind Driven Optimization Algorithm

作　　者：任作琳 田雨波[1] 孙菲艳 

机构地区：[1]江苏科技大学电子信息学院,镇江212003

出　　处：《计算机科学》2016年第7期268-274,共7页Computer Science

基　　金：国家自然科学基金项目(61401179)资助

摘　　要：针对风驱动优化(WDO)算法在解决非等间距直线阵方向图综合问题时收敛精度不高和局部寻优能力不足等缺陷,提出一种小波变异风驱动优化(WDOWM)算法,其中的小波变异算子采用随机化思想丰富了种群多样性。应用该算法综合不同数目阵元到非等间距直线阵方向图实例中,采用二阶多因素多水平的均匀设计方法确定算法参数组合。仿真结果表明,在要求低旁瓣电平和给定方向零陷的情况下,该算法的收敛精度和收敛速度均优于基本风驱动优化算法;与采用粒子群(PSO)算法优化此问题的已有文献相比,所提算法综合的效果更佳。仿真结果说明了所提算法性能良好,适用于天线阵综合问题。Because of some shortcomings of traditional wind driven optimization （WDO） algorithm for the synthesis of unequally spaced linear antenna arrays, such as the bad convergence accuracy and bad local optimal searching capability, the WDO with wavelet mutation （WDOWM） algorithm was proposed. The modified WDO algorithm with a wavelet mutation operator was used to adopt randomization to rich population diversity. Using the modified algorithm to deal with the synthesis problems of multi-elements unequally spaced linear antenna arrays, second-order multi-factor and multi-level uniform design method was used to determine the algorithm parameter combinations. The simulation results show its convergence accuracy and speed are superior to the traditional WDO algorithm in the pattern synthesis of array antennas with low side-lobe level suppression and null control in specified directions. In addition, the performances of the proposed algorithm are superior to the particle swarm optimization （PSO） algorithm used in the cited references. These results suggest that the WDOWM algorithm has good performance, and it is suitable for the antenna synthesis oroblems.

关 键 词：风驱动优化算法 小波变异 均匀设计 天线阵综合 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]