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Comparative sensitivity analysis of energy detection techniques for cognitive radio application

With sensitivity being an important factor in spectrum sensing based Cognitive Radio (CR) application; it remains unclear which out of the many existing Energy Detector (ED) techniques provides the best sensitivity performance for CR application. Consequently, this paper reports a study of some k...

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Main Authors:	Onumanyi, A. J., Onwuka, E. N., Aibinu, Abiodun Musa, Ugweje, O. C., Salami, Momoh Jimoh Emiyoka
Format:	Article
Language:	English
Published:	Austrian E-Journals of Universal Scientific Organization 2014
Subjects:	Q Science (General) QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/46813/1/Vol4_Iss12_762-785_Comparative_Sensitivity_Analysis_of.pdf http://irep.iium.edu.my/46813/ http://aeuso.org/includes/files/articles/Vol4_Iss12_762-785_Comparative_Sensitivity_Analysis_of.pdf
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spelling	my.iium.irep.46813 http://irep.iium.edu.my/46813/ Comparative sensitivity analysis of energy detection techniques for cognitive radio application Onumanyi, A. J. Onwuka, E. N. Aibinu, Abiodun Musa Ugweje, O. C. Salami, Momoh Jimoh Emiyoka Q Science (General) QA75 Electronic computers. Computer science With sensitivity being an important factor in spectrum sensing based Cognitive Radio (CR) application; it remains unclear which out of the many existing Energy Detector (ED) techniques provides the best sensitivity performance for CR application. Consequently, this paper reports a study of some known parametric and non-parametric Energy Detector (ED) schemes for Cognitive Radio (CR) application towards providing relevant information. The models studied are the Simple Periodogram (SP), Welch Periodogram (WP), Multi-Taper (MT), Yule-Walker (YW), Burg (BG), and Covariance (CV). Each technique was developed using known mathematical models and appropriate signals were simulated for comparative analysis. However, owing to the limitation of the typical Receiver Operating Characteristic (ROC) curve to infer comparative information, our study proposes a decomposition of the ROCs of each technique into respective detection and false alarm probability curves in comparison with estimated threshold levels to enhance comparative inference. From our findings, it was observed that a detection performance gain of about 50% can be achieved when using parametric techniques over nonparametric methods especially in low SNR conditions. Furthermore, a possible 15dB increase in sensitivity performance can be achieved in narrow than wideband sensing for all techniques. Finally, an increase in sensing time might not necessarily improve detection performance in low SNR conditions provided a low false alarm performance must be maintained. Austrian E-Journals of Universal Scientific Organization 2014-07 Article NonPeerReviewed application/pdf en http://irep.iium.edu.my/46813/1/Vol4_Iss12_762-785_Comparative_Sensitivity_Analysis_of.pdf Onumanyi, A. J. and Onwuka, E. N. and Aibinu, Abiodun Musa and Ugweje, O. C. and Salami, Momoh Jimoh Emiyoka (2014) Comparative sensitivity analysis of energy detection techniques for cognitive radio application. International Journal of Mechatronics, Electrical and Computer Technology, 4 (12). pp. 762-785. ISSN 2305-0543 http://aeuso.org/includes/files/articles/Vol4_Iss12_762-785_Comparative_Sensitivity_Analysis_of.pdf
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English
topic	Q Science (General) QA75 Electronic computers. Computer science
spellingShingle	Q Science (General) QA75 Electronic computers. Computer science Onumanyi, A. J. Onwuka, E. N. Aibinu, Abiodun Musa Ugweje, O. C. Salami, Momoh Jimoh Emiyoka Comparative sensitivity analysis of energy detection techniques for cognitive radio application
description	With sensitivity being an important factor in spectrum sensing based Cognitive Radio (CR) application; it remains unclear which out of the many existing Energy Detector (ED) techniques provides the best sensitivity performance for CR application. Consequently, this paper reports a study of some known parametric and non-parametric Energy Detector (ED) schemes for Cognitive Radio (CR) application towards providing relevant information. The models studied are the Simple Periodogram (SP), Welch Periodogram (WP), Multi-Taper (MT), Yule-Walker (YW), Burg (BG), and Covariance (CV). Each technique was developed using known mathematical models and appropriate signals were simulated for comparative analysis. However, owing to the limitation of the typical Receiver Operating Characteristic (ROC) curve to infer comparative information, our study proposes a decomposition of the ROCs of each technique into respective detection and false alarm probability curves in comparison with estimated threshold levels to enhance comparative inference. From our findings, it was observed that a detection performance gain of about 50% can be achieved when using parametric techniques over nonparametric methods especially in low SNR conditions. Furthermore, a possible 15dB increase in sensitivity performance can be achieved in narrow than wideband sensing for all techniques. Finally, an increase in sensing time might not necessarily improve detection performance in low SNR conditions provided a low false alarm performance must be maintained.
format	Article
author	Onumanyi, A. J. Onwuka, E. N. Aibinu, Abiodun Musa Ugweje, O. C. Salami, Momoh Jimoh Emiyoka
author_facet	Onumanyi, A. J. Onwuka, E. N. Aibinu, Abiodun Musa Ugweje, O. C. Salami, Momoh Jimoh Emiyoka
author_sort	Onumanyi, A. J.
title	Comparative sensitivity analysis of energy detection techniques for cognitive radio application
title_short	Comparative sensitivity analysis of energy detection techniques for cognitive radio application
title_full	Comparative sensitivity analysis of energy detection techniques for cognitive radio application
title_fullStr	Comparative sensitivity analysis of energy detection techniques for cognitive radio application
title_full_unstemmed	Comparative sensitivity analysis of energy detection techniques for cognitive radio application
title_sort	comparative sensitivity analysis of energy detection techniques for cognitive radio application
publisher	Austrian E-Journals of Universal Scientific Organization
publishDate	2014
url	http://irep.iium.edu.my/46813/1/Vol4_Iss12_762-785_Comparative_Sensitivity_Analysis_of.pdf http://irep.iium.edu.my/46813/ http://aeuso.org/includes/files/articles/Vol4_Iss12_762-785_Comparative_Sensitivity_Analysis_of.pdf
_version_	1643616877726924800
score	13.211869

Comparative sensitivity analysis of energy detection techniques for cognitive radio application

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