{"title":"四发射天线MIMO无线通信系统中准正交STBC方案的低复杂度mmse - qrd ML解码器","authors":"Van-Su Pham, Minh-Tuan Le, Linh Mai, G. Yoon","doi":"10.1109/ICACT.2006.206373","DOIUrl":null,"url":null,"abstract":"This work proposes a MMSE-QR decomposition-based (MMSE-QRD) low-complexity maximum-likelihood (ML) decoders for quasi-orthogonal space-time block code (QOSTBC) with 4 transmit antennas, denoted as MMSE-QRD LCML decoder. By stacking received symbols from different received symbol period together and applying QR decomposition on extended channel matrix (D. Wubben et al., 2001) resulting special format of matrix R, the proposed decoders is able to reduce complexity by decouple decoding as H. Jafarkhani (2001). In addition, by using the same principle of Minh-Tuan Le et al. (2005) to jointly detect signals, the MMSE-QRD LCML decoder is able to not only significantly reduce the computational load but also obtain ML performance","PeriodicalId":247315,"journal":{"name":"2006 8th International Conference Advanced Communication Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Low complexity MMSE-QRD-based ML decoder for quasi-orthogonal STBC scheme in MIMO wireless communications systems with four-transmit antennas\",\"authors\":\"Van-Su Pham, Minh-Tuan Le, Linh Mai, G. Yoon\",\"doi\":\"10.1109/ICACT.2006.206373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work proposes a MMSE-QR decomposition-based (MMSE-QRD) low-complexity maximum-likelihood (ML) decoders for quasi-orthogonal space-time block code (QOSTBC) with 4 transmit antennas, denoted as MMSE-QRD LCML decoder. By stacking received symbols from different received symbol period together and applying QR decomposition on extended channel matrix (D. Wubben et al., 2001) resulting special format of matrix R, the proposed decoders is able to reduce complexity by decouple decoding as H. Jafarkhani (2001). In addition, by using the same principle of Minh-Tuan Le et al. (2005) to jointly detect signals, the MMSE-QRD LCML decoder is able to not only significantly reduce the computational load but also obtain ML performance\",\"PeriodicalId\":247315,\"journal\":{\"name\":\"2006 8th International Conference Advanced Communication Technology\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 8th International Conference Advanced Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACT.2006.206373\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 8th International Conference Advanced Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACT.2006.206373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
本文提出了一种基于MMSE-QR分解(MMSE-QRD)的具有4个发射天线的准正交空时分组码(QOSTBC)低复杂度最大似然(ML)解码器,称为MMSE-QRD LCML解码器。通过将不同接收符号周期的接收符号叠加在一起,并对扩展信道矩阵进行QR分解(D. Wubben et al., 2001),得到矩阵R的特殊格式,所提出的解码器能够像H. Jafarkhani(2001)那样通过解耦解码来降低复杂度。此外,MMSE-QRD LCML解码器采用Minh-Tuan Le et al.(2005)的相同原理联合检测信号,不仅可以显著降低计算负荷,还可以获得ML性能
Low complexity MMSE-QRD-based ML decoder for quasi-orthogonal STBC scheme in MIMO wireless communications systems with four-transmit antennas
This work proposes a MMSE-QR decomposition-based (MMSE-QRD) low-complexity maximum-likelihood (ML) decoders for quasi-orthogonal space-time block code (QOSTBC) with 4 transmit antennas, denoted as MMSE-QRD LCML decoder. By stacking received symbols from different received symbol period together and applying QR decomposition on extended channel matrix (D. Wubben et al., 2001) resulting special format of matrix R, the proposed decoders is able to reduce complexity by decouple decoding as H. Jafarkhani (2001). In addition, by using the same principle of Minh-Tuan Le et al. (2005) to jointly detect signals, the MMSE-QRD LCML decoder is able to not only significantly reduce the computational load but also obtain ML performance