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Probabilities of Detection and False Alarm in MTM- Based Spectrum Sensing for Cognitive Radio Systems

Authors:
Owayed A. Alghamdi
Mosa A. Abu-Rgheff
Mohammed Z. Ahmed

Keywords: cognitive radio; spectrum sensing; multitier spectrum estimation.

Abstract:
The paper presents closed-form expressions for the detection, and false alarm probabilities for spectrum sensing detection based on the Multitaper Spectrum Estimation Method (MTM) using Neyman-Pearson criterion. The MTM spectrum sensing is a powerful technique in Cognitive Radio (CR) systems. It tolerates problems related to bad biasing, and large variance of estimates, that are the main drawbacks in the periodogram (i.e., energy detector). The performance of the MTM spectrum sensing system is controlled by parameters, such as the chosen half time bandwidth product, Discrete Prolate Slepian Sequence (DPSS) (i.e., tapers), DPSS’ eigenvalues, and the number of tapers used. These parameters determine the theoretical probabilities of detection and false alarm, which are used to evaluate the system performance. The paper shows a good match between the theoretical and numerical simulation results.

Pages: 114 to 119

Copyright: Copyright (c) IARIA, 2010

Publication date: October 25, 2010

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-61208-103-8

Location: Florence, Italy

Dates: from October 25, 2010 to October 30, 2010