半定松弛检测器的鲁棒方法

Jaffer Ali, H. Tariq, M. Qaisrani
{"title":"半定松弛检测器的鲁棒方法","authors":"Jaffer Ali, H. Tariq, M. Qaisrani","doi":"10.1109/FIT.2011.12","DOIUrl":null,"url":null,"abstract":"The semi definite relaxation detector is one of several approaches to quasi-maximum likelihood detection that have been proposed in the literature. This detector can provide near maximum likelihood performance at polynomial time complexity thereby sparking the interest of the research community. In this work, we investigate how the semi definite relaxation detector can be made robust to model/channel uncertainties. Several models of uncertainty are studied and some plausible techniques of making the semi definite relaxation detector robust to these uncertainties are described.","PeriodicalId":101923,"journal":{"name":"2011 Frontiers of Information Technology","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Robust Approaches to the Semidefinite Relaxation Detector\",\"authors\":\"Jaffer Ali, H. Tariq, M. Qaisrani\",\"doi\":\"10.1109/FIT.2011.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The semi definite relaxation detector is one of several approaches to quasi-maximum likelihood detection that have been proposed in the literature. This detector can provide near maximum likelihood performance at polynomial time complexity thereby sparking the interest of the research community. In this work, we investigate how the semi definite relaxation detector can be made robust to model/channel uncertainties. Several models of uncertainty are studied and some plausible techniques of making the semi definite relaxation detector robust to these uncertainties are described.\",\"PeriodicalId\":101923,\"journal\":{\"name\":\"2011 Frontiers of Information Technology\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Frontiers of Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FIT.2011.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Frontiers of Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIT.2011.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

半确定松弛检测器是文献中提出的几种拟极大似然检测方法之一。该检测器可以在多项式时间复杂度下提供接近最大似然的性能,从而引起了研究界的兴趣。在这项工作中,我们研究了如何使半确定松弛检测器对模型/通道不确定性具有鲁棒性。研究了几种不确定性模型,并描述了一些使半确定松弛检测器对这些不确定性具有鲁棒性的可行技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Robust Approaches to the Semidefinite Relaxation Detector
The semi definite relaxation detector is one of several approaches to quasi-maximum likelihood detection that have been proposed in the literature. This detector can provide near maximum likelihood performance at polynomial time complexity thereby sparking the interest of the research community. In this work, we investigate how the semi definite relaxation detector can be made robust to model/channel uncertainties. Several models of uncertainty are studied and some plausible techniques of making the semi definite relaxation detector robust to these uncertainties are described.
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