{"title":"Side lobe level optimization in phased array antennas using genetic algorithm","authors":"F. Soltankarimi, J. Nourinia, C. Ghobadi","doi":"10.1109/ISSSTA.2004.1371728","DOIUrl":null,"url":null,"abstract":"The sidelobe level (SLL) of linear and planar phased arrays is optimized using a genetic algorithm (GA). The amplitude and phase of the current of the antennas are all taken as variables to be controlled. As a final example, the design specifications for a 100 element linear array and a 100 element planar array are given. The linear and planar arrays are also optimized over scan angle. Simulation results are presented as several plots. Successful applications show that the GA can be used as a general tool for pattern synthesis of arbitrary arrays.","PeriodicalId":340769,"journal":{"name":"Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSSTA.2004.1371728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
The sidelobe level (SLL) of linear and planar phased arrays is optimized using a genetic algorithm (GA). The amplitude and phase of the current of the antennas are all taken as variables to be controlled. As a final example, the design specifications for a 100 element linear array and a 100 element planar array are given. The linear and planar arrays are also optimized over scan angle. Simulation results are presented as several plots. Successful applications show that the GA can be used as a general tool for pattern synthesis of arbitrary arrays.