{"title":"Modified Sphere Detection algorithm with decreased bit error rate and lower complexity","authors":"F. E. Hosseini, A. Salahi, S. Shirvani","doi":"10.1109/ISTEL.2008.4651318","DOIUrl":null,"url":null,"abstract":"There are many maximum likelihood (ML) solutions to the detection problem for multiple-input multiple-output systems (MIMO). Recently, sphere detection (SD) method has been used as a powerful mean to find ML point. This method searches closest lattice point using number theory tools. Several algorithms for SD method were presented and among them, the algorithm II is an efficient one. In different papers, some adjustments to this algorithm were proposed to reduce its complexity. In this paper, to improve the performance and to reduce the complexity of algorithm II, two suggestions are proposed. Simulation results, confirm the improvements over the last version of this algorithm.","PeriodicalId":133602,"journal":{"name":"2008 International Symposium on Telecommunications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISTEL.2008.4651318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
There are many maximum likelihood (ML) solutions to the detection problem for multiple-input multiple-output systems (MIMO). Recently, sphere detection (SD) method has been used as a powerful mean to find ML point. This method searches closest lattice point using number theory tools. Several algorithms for SD method were presented and among them, the algorithm II is an efficient one. In different papers, some adjustments to this algorithm were proposed to reduce its complexity. In this paper, to improve the performance and to reduce the complexity of algorithm II, two suggestions are proposed. Simulation results, confirm the improvements over the last version of this algorithm.