一种优化的MIMO OFDM系统组合数据检测方案

Hsiao-Lan Chiang, Sau-Gee Chen
{"title":"一种优化的MIMO OFDM系统组合数据检测方案","authors":"Hsiao-Lan Chiang, Sau-Gee Chen","doi":"10.1109/WDDC.2007.4339399","DOIUrl":null,"url":null,"abstract":"For MIMO OFDM data detection, maximum-likelihood detection (MLD) has the best performance of all the detection algorithms. However, the involved computational complexity is prohibitively high for practical applications. In this paper, by optimizing trade-off between BER performance and computational complexity, we propose a combined detection scheme for MIMO OFDM systems. The combined method comprises sorted QR decomposition (SQRD), MLD, sphere decoding (SD), and back substitution (BS). Simulation results and analyses show that the proposed technique has better performance than comparable designs.","PeriodicalId":142822,"journal":{"name":"2007 International Waveform Diversity and Design Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An optimized combined data detection scheme for MIMO OFDM systems\",\"authors\":\"Hsiao-Lan Chiang, Sau-Gee Chen\",\"doi\":\"10.1109/WDDC.2007.4339399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For MIMO OFDM data detection, maximum-likelihood detection (MLD) has the best performance of all the detection algorithms. However, the involved computational complexity is prohibitively high for practical applications. In this paper, by optimizing trade-off between BER performance and computational complexity, we propose a combined detection scheme for MIMO OFDM systems. The combined method comprises sorted QR decomposition (SQRD), MLD, sphere decoding (SD), and back substitution (BS). Simulation results and analyses show that the proposed technique has better performance than comparable designs.\",\"PeriodicalId\":142822,\"journal\":{\"name\":\"2007 International Waveform Diversity and Design Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Waveform Diversity and Design Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WDDC.2007.4339399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Waveform Diversity and Design Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WDDC.2007.4339399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

对于MIMO OFDM数据检测,最大似然检测(MLD)是所有检测算法中性能最好的。然而,对于实际应用而言,所涉及的计算复杂性过高。本文通过优化误码率性能和计算复杂度之间的权衡,提出了一种MIMO OFDM系统的组合检测方案。组合方法包括排序QR分解(SQRD)、MLD、球面解码(SD)和反向替换(BS)。仿真结果和分析表明,该方法具有比同类设计更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimized combined data detection scheme for MIMO OFDM systems
For MIMO OFDM data detection, maximum-likelihood detection (MLD) has the best performance of all the detection algorithms. However, the involved computational complexity is prohibitively high for practical applications. In this paper, by optimizing trade-off between BER performance and computational complexity, we propose a combined detection scheme for MIMO OFDM systems. The combined method comprises sorted QR decomposition (SQRD), MLD, sphere decoding (SD), and back substitution (BS). Simulation results and analyses show that the proposed technique has better performance than comparable designs.
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