C. M. Kinoshita, Wei Hou, Yusuke Sasaki, T. Fujino
{"title":"A low complexity lattice reduction aided detection based on Gram-Schmidt","authors":"C. M. Kinoshita, Wei Hou, Yusuke Sasaki, T. Fujino","doi":"10.1109/ISSPIT.2010.5711799","DOIUrl":null,"url":null,"abstract":"In this paper, we proposes a low-complexity lattice-reduction aided detection (LRAD) based on the Gram-Schmidt (GS) procedure in multi-input multi-output (MIMO) communications. The conventional LRAD achieves good bit error ratios (BERs) because it reduces the column vectors of the channel matrix close to orthogonal using LLL Algorithm. The proposed detection method reduces the column vectors of the channel matrix mutually purely orthogonal using the LLL algorithm and then the GS procedure, and achieve more reliable estimation of the transmitted signals than the conventional LLL algorithm. The BER curves for the proposed detection is steeper than the conventional LRAD with low complexity.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 10th IEEE International Symposium on Signal Processing and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2010.5711799","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we proposes a low-complexity lattice-reduction aided detection (LRAD) based on the Gram-Schmidt (GS) procedure in multi-input multi-output (MIMO) communications. The conventional LRAD achieves good bit error ratios (BERs) because it reduces the column vectors of the channel matrix close to orthogonal using LLL Algorithm. The proposed detection method reduces the column vectors of the channel matrix mutually purely orthogonal using the LLL algorithm and then the GS procedure, and achieve more reliable estimation of the transmitted signals than the conventional LLL algorithm. The BER curves for the proposed detection is steeper than the conventional LRAD with low complexity.