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

by Mahmood A. Abdulsattar, Zahir A. Hussein
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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

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