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Sensing Algorithm for Cognitive Radio Networks based on Random Data Matrix

by Rohitha Ujjinimatad, Siddarama R Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 3
Year of Publication: 2013
Authors: Rohitha Ujjinimatad, Siddarama R Patil
10.5120/10063-4658

Rohitha Ujjinimatad, Siddarama R Patil . Sensing Algorithm for Cognitive Radio Networks based on Random Data Matrix. International Journal of Computer Applications. 62, 3 ( January 2013), 32-37. DOI=10.5120/10063-4658

@article{ 10.5120/10063-4658,
author = { Rohitha Ujjinimatad, Siddarama R Patil },
title = { Sensing Algorithm for Cognitive Radio Networks based on Random Data Matrix },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 3 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number3/10063-4658/ },
doi = { 10.5120/10063-4658 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:43.686343+05:30
%A Rohitha Ujjinimatad
%A Siddarama R Patil
%T Sensing Algorithm for Cognitive Radio Networks based on Random Data Matrix
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 3
%P 32-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Signal detection is a fundamental problem in Cognitive radio. In this paper a new statistical test is proposed based on random data matrix (RDM) for detecting the signals in noise, as opposed to the eigenvalue based tests. Among the many spectrum sensing methods, the RDM method detects the primary users without any prior information. The performance of the test is compared with energy detection (ED), covariance absolute value (CAV) and eigenvalue based algorithms through simulation analysis. This sensing algorithm can be used for very low SNR signal detection without requiring the knowledge of signal, channel and noise. Simulations are based on wireless microphone and identically and independently distributed (iid) signals.

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Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio Random data matrix Spectrum sensing Sphericity test sensing algorithms

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