NDLI: Spectrum sensing with an improved Energy detection

Content Provider	IEEE Xplore Digital Library
Author	Abdessamad, E. Saadane, R. El Aroussi, M. Wahbi, M. Hamdoun, A.
Copyright Year	2014
Description	Author affiliation: Electr. Eng. Dept., LASI-EHTP, Casablanca, Morocco (Abdessamad, E.; Saadane, R.; El Aroussi, M.; Wahbi, M.; Hamdoun, A.)
Abstract	Opportunistic spectrum access is a critical application in the context of cognitive radio, and knowing that the detection of free bands in the spectrum is the key to such application. It has shown that the detection of energy is the most convenient method, in the sense that there is no a priori information about the primary user. In this work, The implementation of the energy detection technique has been done in MatLab for both models, AWGN and Rayleigh channels. The simulation confirmed the theoretical results, which gives that the error level in AWGN channel is less than a Rayleigh channel, and it is also verified that the performance of the detector is independent of the type of modulation. As the threshold used in this method depends on the environmental noise, we propose in this paper dynamic threshold selection to increase the probability of detection.
Starting Page	895
Ending Page	900
File Size	1783458
Page Count	6
File Format	PDF
e-ISBN	9781479938247
DOI	10.1109/ICMCS.2014.6911386
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-14
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	AWGN channels Signal to noise ratio Detectors Rayleigh channels Cognitive radio probability of false alarm spectrum sensing energy detection AWGN channel Rayleigh channel probability of detection
Content Type	Text
Resource Type	Article

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