{"title":"Dynamic phase-only array beam control using a genetic algorithm","authors":"R. Haupt, J. M. Johnson","doi":"10.1109/EH.1999.785456","DOIUrl":null,"url":null,"abstract":"This paper describes two approaches to evolvable antenna array beams. The first approach uses a genetic algorithm for adaptive phase-only nulling with phased arrays. A genetic algorithm adjusts some of the least significant bits of the beam steering phase shifters in order to minimize the total output power. Using a few bits for nulling speeds convergence of the algorithm and limits pattern distortions. Various results are presented to show the advantages and limitations of this approach. A second problem is a switched beam linear array in which two beams with specified shapes, a narrow beam and a wide beam, are to be produced. The goal of the design effort is to determine a set of complex excitation coefficients such that switching between beams is accomplished by changes in the phase weights alone. Excellent results are obtained by simultaneous, multi-objective optimization based design using a GA instead of sequential GA optimization for the narrow and wide beam cases individually.","PeriodicalId":234639,"journal":{"name":"Proceedings of the First NASA/DoD Workshop on Evolvable Hardware","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First NASA/DoD Workshop on Evolvable Hardware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EH.1999.785456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper describes two approaches to evolvable antenna array beams. The first approach uses a genetic algorithm for adaptive phase-only nulling with phased arrays. A genetic algorithm adjusts some of the least significant bits of the beam steering phase shifters in order to minimize the total output power. Using a few bits for nulling speeds convergence of the algorithm and limits pattern distortions. Various results are presented to show the advantages and limitations of this approach. A second problem is a switched beam linear array in which two beams with specified shapes, a narrow beam and a wide beam, are to be produced. The goal of the design effort is to determine a set of complex excitation coefficients such that switching between beams is accomplished by changes in the phase weights alone. Excellent results are obtained by simultaneous, multi-objective optimization based design using a GA instead of sequential GA optimization for the narrow and wide beam cases individually.