{"title":"Radiation Pattern Synthesis for Adaptive Antenna Arrays Using Improved Quantum Genetic Algorithm","authors":"Ming Liu, Chaowei Yuan, Tian-Song Li, Hong-Hai Wu","doi":"10.1109/ISAPE.2006.353387","DOIUrl":null,"url":null,"abstract":"In this paper, compared with genetic algorithm (GA), an improved quantum genetic algorithm (QGA) was proposed, and it was used to calculate the complex excitations, amplitudes and phases of adaptive antenna arrays. The optimization goal is to maximize the output power of the desired signal and minimize the total output power of the interfering signals. Simulation results show that the improved QGA has better performance than existing GA.","PeriodicalId":113164,"journal":{"name":"2006 7th International Symposium on Antennas, Propagation & EM Theory","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 7th International Symposium on Antennas, Propagation & EM Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAPE.2006.353387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, compared with genetic algorithm (GA), an improved quantum genetic algorithm (QGA) was proposed, and it was used to calculate the complex excitations, amplitudes and phases of adaptive antenna arrays. The optimization goal is to maximize the output power of the desired signal and minimize the total output power of the interfering signals. Simulation results show that the improved QGA has better performance than existing GA.
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