{"title":"基于SDQR分解算法的改进信号检测性能分析","authors":"Xiaoyan Deng, Xiaohui Song, Yunlong Ge","doi":"10.1109/3PGCIC.2015.134","DOIUrl":null,"url":null,"abstract":"This paper proposes an improved QR signal detection, which is based on SDQR decomposition algorithm. VBLAST is an effective detection method for MIMO OFDM systems, but has a large computational complexity. Performance analysis of OR algorithm and other algorithms (such as ZF, QR, ML....) in Rayleigh channel is carried on and the result shows that SDQR decomposition algorithm has better performance.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis of an Improved Signal Detection Based on SDQR Decomposition Algorithm\",\"authors\":\"Xiaoyan Deng, Xiaohui Song, Yunlong Ge\",\"doi\":\"10.1109/3PGCIC.2015.134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an improved QR signal detection, which is based on SDQR decomposition algorithm. VBLAST is an effective detection method for MIMO OFDM systems, but has a large computational complexity. Performance analysis of OR algorithm and other algorithms (such as ZF, QR, ML....) in Rayleigh channel is carried on and the result shows that SDQR decomposition algorithm has better performance.\",\"PeriodicalId\":395401,\"journal\":{\"name\":\"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)\",\"volume\":\"231 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3PGCIC.2015.134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3PGCIC.2015.134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Analysis of an Improved Signal Detection Based on SDQR Decomposition Algorithm
This paper proposes an improved QR signal detection, which is based on SDQR decomposition algorithm. VBLAST is an effective detection method for MIMO OFDM systems, but has a large computational complexity. Performance analysis of OR algorithm and other algorithms (such as ZF, QR, ML....) in Rayleigh channel is carried on and the result shows that SDQR decomposition algorithm has better performance.