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Reseach Article

Analysis of Cognitive Radio Spectrum Sensing Techniques

by Md. Shahnawaz Shaikh, Kamlesh Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 12
Year of Publication: 2014
Authors: Md. Shahnawaz Shaikh, Kamlesh Gupta

Md. Shahnawaz Shaikh, Kamlesh Gupta . Analysis of Cognitive Radio Spectrum Sensing Techniques. International Journal of Computer Applications. 102, 12 ( September 2014), 1-7. DOI=10.5120/17864-8805

@article{ 10.5120/17864-8805,
author = { Md. Shahnawaz Shaikh, Kamlesh Gupta },
title = { Analysis of Cognitive Radio Spectrum Sensing Techniques },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 12 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { },
doi = { 10.5120/17864-8805 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:32:54.331333+05:30
%A Md. Shahnawaz Shaikh
%A Kamlesh Gupta
%T Analysis of Cognitive Radio Spectrum Sensing Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 12
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

In wireless communication, signal in its propagation path always gets affected by noise signal. The radio link between transmitter and receiver varies randomly during signal propagation. This radio link may offer simple line-of-sight or multipath propagation of communication signal depending on channel condition and channel type. Sensing performance of cognitive radio network may also gets affected over various channels and requires to be calculated. This paper enlightens the implementation and analysis through simulation of Matched filtering, Energy detection and Cyclostationary feature detection cognitive radio spectrum sensing techniques over AWGN, Rician and Rayleigh fading channels. It also contains combined analysis of the three techniques in terms of the SNR vs decision accuracy plots over AWGN, Rician fading and Rayleigh fading channels.

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Index Terms

Computer Science
Information Sciences


Cognitive Spectrum sensing Energy detection Matched filtering Cyclostationary detection Cooperative sensing