{"title":"Efficient detection of space time block codes in time-selective channels via Adaptive Sphere Decoder","authors":"R. Kashif, I. Safwat, A. A. Khan","doi":"10.1109/ICET.2009.5353155","DOIUrl":null,"url":null,"abstract":"In this paper we consider symbol detection in Alamouti's space-time block coding (STBC) scheme by using Adaptive Sphere Decoder (ASD) which carries out adaptive radius search over time-selective fading channels. Once the channel is time-varying in nature, the channel co-efficients vary from one signaling interval to another, a conventional Maximum Likelihood (ML) detector carries out exhaustive search and thus becomes computationally expensive specially for higher modulation schemes in a multi-antenna system. Use of SD in time-selective fading channel results in optimal performance with moderate computational complexity. We evaluate the bit-error rate (BER) performance of ASD as compared to the exhaustive search ML detector as well as the generalized simplified ML (GSML) detector, proposed by Tran et al. over time-varying channels. Simulation results suggest that the use of ASD algorithm based on Fincke and Pohst method improves system performance but at expense of marginal computational complexity.","PeriodicalId":307661,"journal":{"name":"2009 International Conference on Emerging Technologies","volume":"31 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2009.5353155","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
In this paper we consider symbol detection in Alamouti's space-time block coding (STBC) scheme by using Adaptive Sphere Decoder (ASD) which carries out adaptive radius search over time-selective fading channels. Once the channel is time-varying in nature, the channel co-efficients vary from one signaling interval to another, a conventional Maximum Likelihood (ML) detector carries out exhaustive search and thus becomes computationally expensive specially for higher modulation schemes in a multi-antenna system. Use of SD in time-selective fading channel results in optimal performance with moderate computational complexity. We evaluate the bit-error rate (BER) performance of ASD as compared to the exhaustive search ML detector as well as the generalized simplified ML (GSML) detector, proposed by Tran et al. over time-varying channels. Simulation results suggest that the use of ASD algorithm based on Fincke and Pohst method improves system performance but at expense of marginal computational complexity.