{"title":"利用turbo码和分层空时编码实现MIMO无线系统","authors":"M.N.A. El Massih, M. Aziz, S. Ramly","doi":"10.1109/NRSC.2008.4542332","DOIUrl":null,"url":null,"abstract":"Digital communications using multi-input multi-output (MIMO) has recently emerged as one of the most significant technical breakthroughs in modern communications [1] as they offer remarkable spectral efficiency. Among many types of space-time codes, the layered space-time codes (LST) [2] offer a multiplexing gain of ntau (number of transmit antennas) rather than diversity gain offered by space-time block and trellis codes [3]-[5].[6]. Turbo codes [7] are considered novel and revolutionary error-control coding technique because they offer a remarkable performance using an iterative process at the receiver. This iterative process uses a soft input soft-output decoder such as maximum a posteriori probability (MAP) [8] decoder or soft output Viterbi algorithm (SOVA)[9],[10]. In this paper it is proposed to use turbo codes in conjunction with different LST architectures using parallel interference canceller (PIC) iterative receiver. MAP algorithm is used as the soft-input soft-output decoder. Simulation results show a great improvement compared to non-turbo LST systems.","PeriodicalId":6778,"journal":{"name":"2020 37th National Radio Science Conference (NRSC)","volume":"47 1","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using turbo codes with layered space-time coding for MIMO wireless systems\",\"authors\":\"M.N.A. El Massih, M. Aziz, S. Ramly\",\"doi\":\"10.1109/NRSC.2008.4542332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital communications using multi-input multi-output (MIMO) has recently emerged as one of the most significant technical breakthroughs in modern communications [1] as they offer remarkable spectral efficiency. Among many types of space-time codes, the layered space-time codes (LST) [2] offer a multiplexing gain of ntau (number of transmit antennas) rather than diversity gain offered by space-time block and trellis codes [3]-[5].[6]. Turbo codes [7] are considered novel and revolutionary error-control coding technique because they offer a remarkable performance using an iterative process at the receiver. This iterative process uses a soft input soft-output decoder such as maximum a posteriori probability (MAP) [8] decoder or soft output Viterbi algorithm (SOVA)[9],[10]. In this paper it is proposed to use turbo codes in conjunction with different LST architectures using parallel interference canceller (PIC) iterative receiver. MAP algorithm is used as the soft-input soft-output decoder. Simulation results show a great improvement compared to non-turbo LST systems.\",\"PeriodicalId\":6778,\"journal\":{\"name\":\"2020 37th National Radio Science Conference (NRSC)\",\"volume\":\"47 1\",\"pages\":\"1-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 37th National Radio Science Conference (NRSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRSC.2008.4542332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 37th National Radio Science Conference (NRSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRSC.2008.4542332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using turbo codes with layered space-time coding for MIMO wireless systems
Digital communications using multi-input multi-output (MIMO) has recently emerged as one of the most significant technical breakthroughs in modern communications [1] as they offer remarkable spectral efficiency. Among many types of space-time codes, the layered space-time codes (LST) [2] offer a multiplexing gain of ntau (number of transmit antennas) rather than diversity gain offered by space-time block and trellis codes [3]-[5].[6]. Turbo codes [7] are considered novel and revolutionary error-control coding technique because they offer a remarkable performance using an iterative process at the receiver. This iterative process uses a soft input soft-output decoder such as maximum a posteriori probability (MAP) [8] decoder or soft output Viterbi algorithm (SOVA)[9],[10]. In this paper it is proposed to use turbo codes in conjunction with different LST architectures using parallel interference canceller (PIC) iterative receiver. MAP algorithm is used as the soft-input soft-output decoder. Simulation results show a great improvement compared to non-turbo LST systems.