基于ELPSO阵元失效校正的研究

ELPSO-Based Research on Array Element Failure Correction

阵列天线经常存在阵元失效现象,且在一些特殊的情况下阵元替换十分不便.运用改进粒子群算法——提高领导能力的粒子群算法对失效后的阵面进行优化,在常规粒子群算法的基础上,对每次迭代得出最优粒子之后进行4次连续突变,包括2步长突变和2步短突变,增大得到更优解的可能性,使经过算法校正后的阵面天线降低性能投入使用.与常规粒子群算法实验结果进行对比,结果证明,ELPSO能够得到更优的副瓣电平.

The phenomenon of array element failure often occurs in array antenna,and in some special cases,the array element replacement is very inconvenient.In this paper,the improved particle algorithm-Enhanced Leader Particle Swarm Optimization-is used to optimize the failed array face.Using the method of ELPSO,the authors obtain the best particle after every iteration,then do four times of continuous mutations,including two-step long mutations and two-step short mutations so as to increase the possibility of acquiring a better solution and use the ELPSO-corrected array antenna in a degraded performance.This paper proves that,compared with the experimental results of conventional particle swarm algorithm,the method of ELPSO can obtain better minor-lobe electrical level.