一种基于加权elrt的鲁棒频谱感知算法

Junrong Gu, Wenglong Liu, Sungjeen Jang, J. Kim
{"title":"一种基于加权elrt的鲁棒频谱感知算法","authors":"Junrong Gu, Wenglong Liu, Sungjeen Jang, J. Kim","doi":"10.1109/ICAWST.2011.6163130","DOIUrl":null,"url":null,"abstract":"Most of current spectrum sensing methods assume the probability density functions (PDFs) about some parameters are known beforehand. However, in most practical applications, the communication environments usually vary with time. The presumed PDF estimated previously might be different from the actual one. It will degrade the performance of most spectrum sensing methods dramatically. In this paper, we propose a robust approach to address this problem. The weighted Empirical Likelihood Ratio Test (ELRT) is an effective method in statistical mathematics which can improve the robustness against the effect of imprecise knowledge of PDF under small sample size. The weighted ELRT obtains the robustness by re-weighting the contributions of actual PDF to likelihood. We employ the weighted ELRT in spectrum sensing, and term this new method as weighted ELRT-based robust spectrum sensing. Simulation results corroborate the performance of the proposed method over those of conventional ones.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A weighted ELRT-based robust spectrum sensing algorithm\",\"authors\":\"Junrong Gu, Wenglong Liu, Sungjeen Jang, J. Kim\",\"doi\":\"10.1109/ICAWST.2011.6163130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of current spectrum sensing methods assume the probability density functions (PDFs) about some parameters are known beforehand. However, in most practical applications, the communication environments usually vary with time. The presumed PDF estimated previously might be different from the actual one. It will degrade the performance of most spectrum sensing methods dramatically. In this paper, we propose a robust approach to address this problem. The weighted Empirical Likelihood Ratio Test (ELRT) is an effective method in statistical mathematics which can improve the robustness against the effect of imprecise knowledge of PDF under small sample size. The weighted ELRT obtains the robustness by re-weighting the contributions of actual PDF to likelihood. We employ the weighted ELRT in spectrum sensing, and term this new method as weighted ELRT-based robust spectrum sensing. Simulation results corroborate the performance of the proposed method over those of conventional ones.\",\"PeriodicalId\":126169,\"journal\":{\"name\":\"2011 3rd International Conference on Awareness Science and Technology (iCAST)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Conference on Awareness Science and Technology (iCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAWST.2011.6163130\",\"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 3rd International Conference on Awareness Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAWST.2011.6163130","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

目前大多数的频谱传感方法都假定某些参数的概率密度函数是事先已知的。然而,在大多数实际应用中,通信环境通常随时间而变化。先前估计的假定PDF可能与实际PDF不同。这将大大降低大多数频谱传感方法的性能。在本文中,我们提出了一个健壮的方法来解决这个问题。加权经验似然比检验(weighted Empirical Likelihood Ratio Test, ELRT)是统计数学中一种有效的方法,可以提高统计数学在小样本量下对PDF知识不精确影响的稳健性。加权ELRT通过重新加权实际PDF对似然的贡献来获得鲁棒性。我们将加权ELRT用于频谱感知,并将这种新方法称为基于加权ELRT的鲁棒频谱感知。仿真结果验证了该方法优于传统方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A weighted ELRT-based robust spectrum sensing algorithm
Most of current spectrum sensing methods assume the probability density functions (PDFs) about some parameters are known beforehand. However, in most practical applications, the communication environments usually vary with time. The presumed PDF estimated previously might be different from the actual one. It will degrade the performance of most spectrum sensing methods dramatically. In this paper, we propose a robust approach to address this problem. The weighted Empirical Likelihood Ratio Test (ELRT) is an effective method in statistical mathematics which can improve the robustness against the effect of imprecise knowledge of PDF under small sample size. The weighted ELRT obtains the robustness by re-weighting the contributions of actual PDF to likelihood. We employ the weighted ELRT in spectrum sensing, and term this new method as weighted ELRT-based robust spectrum sensing. Simulation results corroborate the performance of the proposed method over those of conventional ones.
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