Performance of Spectrum Sensing Based on Absolute Value Cumulation in Laplacian Noise

Yinghui Ye, Yongzhao Li, G. Lu, Fuhui Zhou, Hailin Zhang
{"title":"Performance of Spectrum Sensing Based on Absolute Value Cumulation in Laplacian Noise","authors":"Yinghui Ye, Yongzhao Li, G. Lu, Fuhui Zhou, Hailin Zhang","doi":"10.1109/VTCFall.2017.8287978","DOIUrl":null,"url":null,"abstract":"Spectrum sensing based on absolute value cumulating (AVC sensing) has attracted much attention due to its effectiveness in the presence of Laplaican noise and simpleness of implementation. In this paper, we investigate its detection performance and optimal detection threshold. Specifically, based on the derived mean and variance of the test statistic, an accurate expression of the detection probability is given. Using the accurate expression, an optimization problem is formulated to minimize the total error rate of AVC sensing by optimizing the detection threshold with a constraint on false alarm probability, and the optimal detection threshold is derived. Numerical results are provided to support our work.","PeriodicalId":375803,"journal":{"name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2017.8287978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Spectrum sensing based on absolute value cumulating (AVC sensing) has attracted much attention due to its effectiveness in the presence of Laplaican noise and simpleness of implementation. In this paper, we investigate its detection performance and optimal detection threshold. Specifically, based on the derived mean and variance of the test statistic, an accurate expression of the detection probability is given. Using the accurate expression, an optimization problem is formulated to minimize the total error rate of AVC sensing by optimizing the detection threshold with a constraint on false alarm probability, and the optimal detection threshold is derived. Numerical results are provided to support our work.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
拉普拉斯噪声中基于绝对值累积的频谱感知性能
基于绝对值累积的频谱感知(AVC sensing)因其在拉普莱恩噪声存在下的有效性和实现简单而备受关注。本文研究了它的检测性能和最优检测阈值。具体地说,根据得到的检验统计量的均值和方差,给出了检测概率的精确表达式。利用精确表达式,在虚警概率约束下,通过优化检测阈值,推导出AVC传感总错误率最小的优化问题,并推导出最优检测阈值。数值结果支持了我们的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Novel Framework for Software Defined Wireless Sensor Networks Using LTE Networks for UAV Command and Control Link: A Rural-Area Coverage Analysis Interference Analysis for UAV Connectivity over LTE Using Aerial Radio Measurements Circular Convolution Filter Bank Multicarrier (FBMC) System with Index Modulation Dynamic Time and Power Allocation for Opportunistic Energy Efficient Cooperative Relay
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1