LTE标准的高效QR分解算法

K. Kalyani, D. Sellathambi, S. Rajaram
{"title":"LTE标准的高效QR分解算法","authors":"K. Kalyani, D. Sellathambi, S. Rajaram","doi":"10.1109/ICCCNT.2013.6726492","DOIUrl":null,"url":null,"abstract":"LTE has become a hotspot of research and application in high speed broadband wireless access. MIMO signal detecting algorithms are necessary process in LTE receiver design. One of the main baseband function in MIMO receivers is QR decomposition of the channel matrix. This paper presents a new QR decomposition algorithm with several advantages to the previous method. The execution time of the QRD algorithm reduced by designing a new algorithm based on Householder transformation (HT) instead of existing algorithm. For QRD of large size matrices, this algorithm can achieve computational efficiency with robust numerical stability. The proposed scheme reduces the computation by half the amount to previous method.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":"43 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Efficient QR decomposition algorithm for LTE standard\",\"authors\":\"K. Kalyani, D. Sellathambi, S. Rajaram\",\"doi\":\"10.1109/ICCCNT.2013.6726492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"LTE has become a hotspot of research and application in high speed broadband wireless access. MIMO signal detecting algorithms are necessary process in LTE receiver design. One of the main baseband function in MIMO receivers is QR decomposition of the channel matrix. This paper presents a new QR decomposition algorithm with several advantages to the previous method. The execution time of the QRD algorithm reduced by designing a new algorithm based on Householder transformation (HT) instead of existing algorithm. For QRD of large size matrices, this algorithm can achieve computational efficiency with robust numerical stability. The proposed scheme reduces the computation by half the amount to previous method.\",\"PeriodicalId\":6330,\"journal\":{\"name\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"volume\":\"43 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCNT.2013.6726492\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2013.6726492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

LTE已成为高速宽带无线接入领域的研究和应用热点。MIMO信号检测算法是LTE接收机设计的必要环节。MIMO接收机的主要基带功能之一是信道矩阵的QR分解。本文提出了一种新的QR分解算法,该算法与传统的QR分解算法相比具有许多优点。通过设计一种基于Householder变换(HT)的新算法来代替现有算法,缩短了QRD算法的执行时间。对于大尺寸矩阵的QRD,该算法既能提高计算效率,又具有鲁棒的数值稳定性。该方案的计算量比原方法减少了一半。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient QR decomposition algorithm for LTE standard
LTE has become a hotspot of research and application in high speed broadband wireless access. MIMO signal detecting algorithms are necessary process in LTE receiver design. One of the main baseband function in MIMO receivers is QR decomposition of the channel matrix. This paper presents a new QR decomposition algorithm with several advantages to the previous method. The execution time of the QRD algorithm reduced by designing a new algorithm based on Householder transformation (HT) instead of existing algorithm. For QRD of large size matrices, this algorithm can achieve computational efficiency with robust numerical stability. The proposed scheme reduces the computation by half the amount to previous method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信