Spectrum Sensing for Cognitive Radio using Multicoset Sampling

被引：0
|
作者：
Aziz, Babar [1 ]
Traore, Samba [2 ]
Nafkha, Amor [2 ]
Le Guennec, Daniel [2 ]
机构：
[1] LEOST, IFSTTAR, F-59650 Villeneuve Dascq, France
[2] SUPELEC IETR, F-35576 Cesson Sevigne, France
来源：
2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014) | 2014年
关键词：
Non-uniform sub-Nyquist sampling; Multicoset sampling; Cognitive radio; Spectrum sensing;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Spectrum sensing is the very task upon which the entire operation of Cognitive Radio rests. In this paper, we propose a spectrum sensing technique based on the estimates of the spectrum of a multiband signal obtained from its non-unfform compressed multicoset samples. We show that our proposed spectrum sensing method provides accurate results using less data samples. We discuss in detail the effect of false detections on the quality of the reconstructed signal obtained from non -uniform multicoset samples.
引用
收藏
页码：816 / 821
页数：6
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