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Reseach Article

New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels

by Mahmood A. Abdulsattar, Zahir A. Hussein
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 5
Year of Publication: 2012
Authors: Mahmood A. Abdulsattar, Zahir A. Hussein
10.5120/8198-1588

Mahmood A. Abdulsattar, Zahir A. Hussein . New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels. International Journal of Computer Applications. 52, 5 ( August 2012), 20-25. DOI=10.5120/8198-1588

@article{ 10.5120/8198-1588,
author = { Mahmood A. Abdulsattar, Zahir A. Hussein },
title = { New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 5 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number5/8198-1588/ },
doi = { 10.5120/8198-1588 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:51:29.185658+05:30
%A Mahmood A. Abdulsattar
%A Zahir A. Hussein
%T New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 5
%P 20-25
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we presented a DSP processor to be used as a baseband energy detectorbased spectrum sensingfor cognitive radio (CR) under fading channels. We Derived expression for the average probability of detection over Rayleigh fading channels in easiest form and Nakagami-m channels with no diversity. Novelties of this work came from proposing a multiple antennas signal detection technique for spectrum sensing in a multipath fading environment. Without involving the sampling theorems and the accompanying approximation, we derive closed-form expressions for the probability of detection and false alarm over an additive white Gaussian noise (AWGN) channels for the proposed method. The proposed technique is a low complexity scheme by using two energy detectors and not need prior information about the channel gain in comparison with other methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Real-time Implementation Cognitive Radio (CR) Energy Detection Fading Channels Square Law Combining