{"title":"MIMO系统中一种有效的天线选择算法","authors":"Enchang Sun, Yanhua Zhang, Xiaobin Hu","doi":"10.1109/BMEI.2009.5305621","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an efficient antenna selection algorithm for wireless MIMO systems with low computational complexity especially when calculating the channel capacity. Our method achieves similar capacity as that of the G-circles algorithm, which is a little lower than that of the optimal antenna selection technique. Simulation results demonstrate that the proposed antenna selection algorithm achieves high performance in terms of bit error rate (BER).","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Efficient Antenna Selection Algorithm for MIMO Systems\",\"authors\":\"Enchang Sun, Yanhua Zhang, Xiaobin Hu\",\"doi\":\"10.1109/BMEI.2009.5305621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an efficient antenna selection algorithm for wireless MIMO systems with low computational complexity especially when calculating the channel capacity. Our method achieves similar capacity as that of the G-circles algorithm, which is a little lower than that of the optimal antenna selection technique. Simulation results demonstrate that the proposed antenna selection algorithm achieves high performance in terms of bit error rate (BER).\",\"PeriodicalId\":6389,\"journal\":{\"name\":\"2009 2nd International Conference on Biomedical Engineering and Informatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd International Conference on Biomedical Engineering and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEI.2009.5305621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Conference on Biomedical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2009.5305621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Antenna Selection Algorithm for MIMO Systems
In this paper, we propose an efficient antenna selection algorithm for wireless MIMO systems with low computational complexity especially when calculating the channel capacity. Our method achieves similar capacity as that of the G-circles algorithm, which is a little lower than that of the optimal antenna selection technique. Simulation results demonstrate that the proposed antenna selection algorithm achieves high performance in terms of bit error rate (BER).
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