%0 Journal Article
%T Cooperative Wideband Spectrum Sensing Algorithm Based on Compressed Sensing Channel Energy Measurements<br>基于压缩感知信道能量观测的协作频谱感知算法
%A Gu Bin Yang Zhen Hu Hai-feng
%A <br>顾彬
%A 杨震
%A 胡海峰
%J 电子与信息学报
%D 2012
%I 
%X Compressed sensing offers a new wideband spectrum sensing scheme in cognitive radio. This paper presents a cooperative sensing scheme based on compressed sensing to sense channel energies without reconstructing the wideband spectrum. Multiple secondary users employ a number of wideband random filters to achieve channel energy measurements. A centralized fusion center is used to collect simultaneously the measurements where a novel cooperative recovery algorithm named Simultaneous Sparsity Adaptive Matching Pursuit (SSAMP) is utilized to reconstruct all the channel energies. Simulations show that the cooperative scheme only needs 20% of the required number of filters in additive white Gaussian noise channel and needs 40% in Raleigh fading channel. SSAMP algorithm outperforms the Simultaneous Orthogonal Matching Pursuit (SOMP) on both reconstruction quality and algorithm complexity.
%K Cognitive Radio (CR)
%K Wideband spectrum sensing
%K Compressed sensing
%K Energy detection<br>认知无线电
%K 宽带频谱感知
%K 压缩感知
%K 能量检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=3B8BF30E16FD5CB0D9E79C5C25AAC6D3&yid=99E9153A83D4CB11&vid=339D79302DF62549&iid=CA4FD0336C81A37A&sid=F3583C8E78166B9E&eid=2A8D03AD8076A2E3&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=13