{"title":"利用自适应球面解码器在时间选择信道中有效检测空时分组码","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":"{\"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}","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}
Efficient detection of space time block codes in time-selective channels via Adaptive Sphere Decoder
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.