COMPRESSIVE DETECTION FOR WIDE-BAND SPECTRUM SENSING

被引：40

作者：

Havary-Nassab, V. ^{[1
]}

Hassan, S. ^{[1
]}

Valaee, S. ^{[1
]}

机构：

[1] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

关键词：

compressive detection; compressive sensing; wide-band spectrum sensing;

D O I：

10.1109/ICASSP.2010.5496101

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper we propose a novel wide-band spectrum sensing scheme using compressive sensing. The wide-band signal is fed into a number of wide-band filters and the outputs of the filters are used to reconstruct the vector of channel energies through the l1 norm minimization. An energy detection is then performed by comparing the obtained vector to a vector of energy thresholds to decide about the occupancy of each channel. Performance of the proposed approach is compared to the current wide-band spectrum sensing algorithms as well as the conventional channel-by-channel scanning method.

引用

下载

页码：3094 / 3097

页数：4

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