{"title":"基于子带结构的智能天线自适应波束形成","authors":"Yue Zhao, B. Ai, Dan Fei, Yiru Liu, Nan Li","doi":"10.23919/URSIGASS.2017.8105415","DOIUrl":null,"url":null,"abstract":"Beamforming is a signal processing technique in which multiple antennas are used to weight the signals so that they can be added constructively in the desired direction, and destructively in the interference direction. In this paper, adaptive beamforming based on subband decomposition structure is investigated in smart antenna arrays and the performance of the proposed adaptive beamforming scheme is analyzed. An efficient subband structure with the reduced sampling rate of signal is given, which leads to the great reduction of computation complexity. Simulation results indicate that the adaptive beamforming based on subband structure works well and has comparative performance to the conventional fullband algorithms.","PeriodicalId":377869,"journal":{"name":"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive beamforming based on subband structure in smart antennas\",\"authors\":\"Yue Zhao, B. Ai, Dan Fei, Yiru Liu, Nan Li\",\"doi\":\"10.23919/URSIGASS.2017.8105415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Beamforming is a signal processing technique in which multiple antennas are used to weight the signals so that they can be added constructively in the desired direction, and destructively in the interference direction. In this paper, adaptive beamforming based on subband decomposition structure is investigated in smart antenna arrays and the performance of the proposed adaptive beamforming scheme is analyzed. An efficient subband structure with the reduced sampling rate of signal is given, which leads to the great reduction of computation complexity. Simulation results indicate that the adaptive beamforming based on subband structure works well and has comparative performance to the conventional fullband algorithms.\",\"PeriodicalId\":377869,\"journal\":{\"name\":\"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSIGASS.2017.8105415\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIGASS.2017.8105415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive beamforming based on subband structure in smart antennas
Beamforming is a signal processing technique in which multiple antennas are used to weight the signals so that they can be added constructively in the desired direction, and destructively in the interference direction. In this paper, adaptive beamforming based on subband decomposition structure is investigated in smart antenna arrays and the performance of the proposed adaptive beamforming scheme is analyzed. An efficient subband structure with the reduced sampling rate of signal is given, which leads to the great reduction of computation complexity. Simulation results indicate that the adaptive beamforming based on subband structure works well and has comparative performance to the conventional fullband algorithms.