IIUM Repository (IREP)

Comparative sensitivity analysis of energy detection techniques for cognitive radio application

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

[img] PDF (Comparative Sensitivity Analysis of Energy Detection Techniques for Cognitive Radio Application) - Published Version
Restricted to Repository staff only

Download (833kB) | Request a copy

Abstract

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.

Item Type: Article (Journal)
Additional Information: 2470/46813
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof Momoh-Jimoh Salami
Date Deposited: 29 Dec 2015 10:59
Last Modified: 19 Jun 2018 15:04
URI: http://irep.iium.edu.my/id/eprint/46813

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year