{"title":"Swarm Optimization Based Side Lobe Reduction in Time Modulated Linear Antenna Arrays","authors":"G. Ram, D. Mandal, R. Kar, S. P. Ghosal","doi":"10.1109/CICN.2014.231","DOIUrl":null,"url":null,"abstract":"In this paper evolutionary optimization based improved particle swarm optimization with wavelet mutation (IPSOWM) is used for the improvement of the radiation performance of time modulated linear antenna arrays. In this paper optimal side lobe reduction is achieved with optimized uniform inter-element spacing and optimal switching time sequence of each element. Real coded genetic algorithm (RGA) and conventional particle swarm optimization (PSO) is also used for comparison of results. The approach is illustrated through 32-element. Various results are presented to show the advantage of IPSOWM approach considering maximum side lobe reduction even amplitude excitation weight is uniform.","PeriodicalId":6487,"journal":{"name":"2014 International Conference on Computational Intelligence and Communication Networks","volume":"49 1","pages":"1101-1105"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computational Intelligence and Communication Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2014.231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper evolutionary optimization based improved particle swarm optimization with wavelet mutation (IPSOWM) is used for the improvement of the radiation performance of time modulated linear antenna arrays. In this paper optimal side lobe reduction is achieved with optimized uniform inter-element spacing and optimal switching time sequence of each element. Real coded genetic algorithm (RGA) and conventional particle swarm optimization (PSO) is also used for comparison of results. The approach is illustrated through 32-element. Various results are presented to show the advantage of IPSOWM approach considering maximum side lobe reduction even amplitude excitation weight is uniform.