Numerical evaluation on sub-Nyquist spectrum reconstruction methods  

作　　者：Zihang SONG Han ZHANG Sean FULLER Andrew LAMBERT Zhinong YING Petri MAHONEN Yonina ELDAR Shuguang CUI Mark DPLUMBLEY Clive PARINI Arumugam NALLANATHAN Yue GAO 

机构地区：[1]Department of Engineering,King’s College London,Strand,London WC2R 2LS,UK [2]School of Computer Science and Electronic Engineering,University of Surrey,Guildford,Surrey GU27XH,UK [3]National Instruments Corporation(UK)Ltd.,Newbury,Berkshire RG142PZ,UK [4]Electronic Media Services Ltd.,Bordon,Hampshire GU350FJ,UK [5]Sony Research Center,Sony Corporation,Lund 22188,Sweden [6]Institute for Networked Systems,RWTH Aachen University,Kackertstrasse,Aachen 52072,Germany [7]Faculty of Math&CS,Weizmann Institute of Science,Rehovot 7610001,Israel [8]School of Science and Engineering,The Chinese University of Hong Kong,Shenzhen 518172,China [9]School of Electronic Engineering and Computer Science,Queen Mary University of London,London E14NS,UK [10]School of Computer Science,Fudan University,Shanghai 200433,China

出　　处：《Frontiers of Computer Science》2023年第6期199-201,共3页中国计算机科学前沿（英文版）

摘　　要：1 Introduction As wireless technology continues to expand,there is a growing concern about the efficient use of spectrum resources.Even though a significant portion of the spectrum is allocated to licensed primary users(PUs),studies indicate that their actual utilization is often limited to between 5%to 10%[1].The underutilization of spectrum has given rise to cognitive radio(CR)technology,which allows secondary users(SUs)to opportunistically access these underused resources[2].However,wideband spectrum sensing,the key of CR,is limited by the need for high-speed analog-to-digital converters(ADCs),which are costly and power-hungry.Compressed spectrum sensing(CSS)addresses this challenge by employing sub-Nyquist rate sampling.The efficiency of active transmission detection heavily depends on the quality of spectrum reconstruction.

关 键 词：SPECTRUM CONTINUE NYQUIST 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]