SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING

Compressive sensing (CS) technique is used to solve the problem of high sampling rate with wide band signal spectrum sensing where high speed analogue to digital converter is needed to do that. This leads to difficult hardware implementation, large time of sensing and detection with high consumptio...

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Main Authors: Ali Mohammad A. AL-Hussain, Maher K. Mahmood
Format: Article
Language:Arabic
Published: Mustansiriyah University/College of Engineering 2020-11-01
Series:Journal of Engineering and Sustainable Development
Subjects:
Online Access:https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/94
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author Ali Mohammad A. AL-Hussain
Maher K. Mahmood
author_facet Ali Mohammad A. AL-Hussain
Maher K. Mahmood
author_sort Ali Mohammad A. AL-Hussain
collection DOAJ
description Compressive sensing (CS) technique is used to solve the problem of high sampling rate with wide band signal spectrum sensing where high speed analogue to digital converter is needed to do that. This leads to difficult hardware implementation, large time of sensing and detection with high consumptions power. The proposed approach combines energy-based detection, with CS compressive sensing and investigates the probability of detection, and the probability of false alarm as a function of the SNR, showing the effect of compression to spectrum sensing performance of cognitive radio system. The Discrete Cosine Transform (DCT) is used as a sparse representation basis of the received signal, and random matrix as a compressive matrix.
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spelling doaj.art-e1270f80a9224a38b5c8c162e784eb802023-09-15T22:01:10ZaraMustansiriyah University/College of EngineeringJournal of Engineering and Sustainable Development2520-09172520-09252020-11-01246SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSINGAli Mohammad A. AL-Hussain0Maher K. Mahmood1Electrical Engineering Department, Mustansiriayh University, Baghdad, IraqElectrical Engineering Department, Mustansiriyah University, Baghdad, Iraq Compressive sensing (CS) technique is used to solve the problem of high sampling rate with wide band signal spectrum sensing where high speed analogue to digital converter is needed to do that. This leads to difficult hardware implementation, large time of sensing and detection with high consumptions power. The proposed approach combines energy-based detection, with CS compressive sensing and investigates the probability of detection, and the probability of false alarm as a function of the SNR, showing the effect of compression to spectrum sensing performance of cognitive radio system. The Discrete Cosine Transform (DCT) is used as a sparse representation basis of the received signal, and random matrix as a compressive matrix. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/94cognitive radiocompressive sensingspectrum sensingenergy detection
spellingShingle Ali Mohammad A. AL-Hussain
Maher K. Mahmood
SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING
Journal of Engineering and Sustainable Development
cognitive radio
compressive sensing
spectrum sensing
energy detection
title SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING
title_full SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING
title_fullStr SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING
title_full_unstemmed SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING
title_short SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING
title_sort spectrum sensing of wide band signals based on energy detection with compressive sensing
topic cognitive radio
compressive sensing
spectrum sensing
energy detection
url https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/94
work_keys_str_mv AT alimohammadaalhussain spectrumsensingofwidebandsignalsbasedonenergydetectionwithcompressivesensing
AT maherkmahmood spectrumsensingofwidebandsignalsbasedonenergydetectionwithcompressivesensing