{"title":"Fast multiple-beams direct data domain genetic algorithm beam-forming approach to space-time adaptive processing","authors":"M. M. Hassan","doi":"10.1109/JEC-ECC.2016.7518957","DOIUrl":null,"url":null,"abstract":"Space-time adaptive processing and genetic algorithms are computationally intensive. So, processing schemes combining both of them may not be considered suitable for real time applications. This study presents a new fast multiple-beams direct data domain genetic algorithm beam-forming approach to space-time adaptive processing which enormously reduces the necessary number of computations compared to other genetic-algorithm-based techniques. The performance of the proposed approach is tested using uniformly spaced real antenna array elements. Mutual coupling effects between array elements are evaluated and eliminated using the method of moments and transformation matrix method respectively. Directions of arrival as well as strengths of all coming signals are estimated by matrix pencil method. Finally, genetic algorithm is used for beamforming and the formed beam pattern capability to simultaneously reconstruct more than one (multiple) signal of interest is evaluated using numerical examples.","PeriodicalId":362288,"journal":{"name":"2016 Fourth International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Fourth International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JEC-ECC.2016.7518957","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
Space-time adaptive processing and genetic algorithms are computationally intensive. So, processing schemes combining both of them may not be considered suitable for real time applications. This study presents a new fast multiple-beams direct data domain genetic algorithm beam-forming approach to space-time adaptive processing which enormously reduces the necessary number of computations compared to other genetic-algorithm-based techniques. The performance of the proposed approach is tested using uniformly spaced real antenna array elements. Mutual coupling effects between array elements are evaluated and eliminated using the method of moments and transformation matrix method respectively. Directions of arrival as well as strengths of all coming signals are estimated by matrix pencil method. Finally, genetic algorithm is used for beamforming and the formed beam pattern capability to simultaneously reconstruct more than one (multiple) signal of interest is evaluated using numerical examples.