{"title":"Performance analysis of the V-BLAST algorithm: an analytical approach","authors":"S. Loyka, F. Gagnon","doi":"10.1109/IZSBC.2002.991745","DOIUrl":null,"url":null,"abstract":"An analytical approach to the performance analysis of the V-BLAST (vertical Bell Labs layered space-time) algorithm is presented. The approach is based on the analytical model of the Gramm-Schmidt process. Closed-form analytical expressions of the vector signal at the i-th processing step and its power are presented. A rigorous proof is given that the diversity order at the i-th step (without optimal ordering) is (n-m+i), where n and m are the number of receiver and transmitter antennas respectively. It is shown that the optimal ordering is based on the least correlation criterion and that the after-processing signal power is determined by the channel correlation matrices in a fashion similar to the channel capacity.","PeriodicalId":336991,"journal":{"name":"2002 International Zurich Seminar on Broadband Communications Access - Transmission - Networking (Cat. No.02TH8599)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"76","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 International Zurich Seminar on Broadband Communications Access - Transmission - Networking (Cat. No.02TH8599)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IZSBC.2002.991745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 76
Abstract
An analytical approach to the performance analysis of the V-BLAST (vertical Bell Labs layered space-time) algorithm is presented. The approach is based on the analytical model of the Gramm-Schmidt process. Closed-form analytical expressions of the vector signal at the i-th processing step and its power are presented. A rigorous proof is given that the diversity order at the i-th step (without optimal ordering) is (n-m+i), where n and m are the number of receiver and transmitter antennas respectively. It is shown that the optimal ordering is based on the least correlation criterion and that the after-processing signal power is determined by the channel correlation matrices in a fashion similar to the channel capacity.