Improved energy detection algorithm for cognitive radios in cooperative spectrum sensing
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Date
2019-05
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Published by Faculty of Communication and Information Science, University of Ilorin, Ilorin, Nigeria
Abstract
Background: The performance of algorithms used in white space detection in cooperative spectrum
sensing is largely dependent on the sensitivity of the cognitive radios used. The sensitivity of the radios is
measured in terms of the probability of missed detections and probability of false alarms. Aim: This work
is aimed at improving on the detection sensitivity of the Conventional Energy Detection (CED) algorithm
while preserving its simplicity. Method: The detection performance of the CED was improved by
avoiding the misdetections caused by instantaneous signal energy drops through the use Modified Energy
Detection (MED) and Improved Energy Detection (IED) algorithms in cooperative spectrum sensing.
Results: The IED scheme proposed reduces the false alarm ratio of the MED scheme while preserving the
detection performance improvement attained with respect to the CED method. With a probability of false
alarm at 0.1, the MED algorithm increases the CED detection probability from 0.2 to 0.4, while the IED
algorithm increases the probability of detection to 0.8, in poor channel conditions where the CED
performs unreliably. This fulfils the objective of improving the sensitivity of energy detection in
cooperative spectrum sensing
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Keywords
Cognitive Radio, Cooperative Spectrum Sensing, Detection Sensitivity, Energy detection