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Cognitive Radio: Spectrum Sensing Problems in Signal Processing

by J. Christopher Clement, Kishore V. Krishnan, A. Bagubali
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 40 - Number 16
Year of Publication: 2012
Authors: J. Christopher Clement, Kishore V. Krishnan, A. Bagubali
10.5120/5067-7475

J. Christopher Clement, Kishore V. Krishnan, A. Bagubali . Cognitive Radio: Spectrum Sensing Problems in Signal Processing. International Journal of Computer Applications. 40, 16 ( February 2012), 37-40. DOI=10.5120/5067-7475

@article{ 10.5120/5067-7475,
author = { J. Christopher Clement, Kishore V. Krishnan, A. Bagubali },
title = { Cognitive Radio: Spectrum Sensing Problems in Signal Processing },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 40 },
number = { 16 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume40/number16/5067-7475/ },
doi = { 10.5120/5067-7475 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:28:16.177763+05:30
%A J. Christopher Clement
%A Kishore V. Krishnan
%A A. Bagubali
%T Cognitive Radio: Spectrum Sensing Problems in Signal Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 40
%N 16
%P 37-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The electromagnetic radio spectrum is a natural resource. Effective Utilization of this natural resource is a Challenging task in Present Day Wireless Communication. Cognitive Radio is an emerging trend in wireless communication to Combat for spectral scarcity. Cognitive radio is an intelligent wireless communication system that is aware of its surrounding environment and uses the methodology of learning, and understanding from the environment and adapting to it. Advanced signal processing techniques are used in Cognitive Radio Network to achieve this intelligence. Spectrum Sensing is one of such a signal processing to identify spectrum holes which can be temporarily used without interfering Primary User. Every cognitive radio receiver is incorporated with Spectrum Sensing. There are various existing techniques to detect the spectrum of which some widely used are presented in this thesis.

References
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Index Terms

Computer Science
Information Sciences

Keywords

CR – Cognitive Radio CSD – Cyclic Spectrum Density PSD – Power Spectrum Density RF Spectrum- Radio Frequency Spectrum

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