DocumentCode :
2060764
Title :
Noise uncertainty analysis of energy detector: Bounded and unbounded approximation relationship
Author :
Bahamou, Sara ; Nafkha, Amor
Author_Institution :
Mines-Telecom, Telecom Bretagne, Cesson-Sévigné, France
fYear :
2013
fDate :
9-13 Sept. 2013
Firstpage :
1
Lastpage :
4
Abstract :
Energy detection is a simple non-coherent approach used for spectrum sensing that offers linear computational complexity and low latency. Its main shortcoming is the well-known noise uncertainty problem, which results in failed detection in the very low signal-to-noise ratio. In this paper, we give a theoretical analysis of the noise uncertainty modeling with energy detection to drive a relationship between bounded and unbounded uncertainty approximation.
Keywords :
cognitive radio; log normal distribution; radio spectrum management; signal detection; energy detector; linear computational complexity; noise uncertainty analysis; spectrum sensing; unbounded approximation; Approximation methods; Cognitive radio; Detectors; Signal to noise ratio; Uncertainty; SNRwall; energy detector; log-normal approximation; noise uncertainty; spectrum sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech
Type :
conf
Filename :
6811718
Link To Document :
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