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New Spectrum Sensing based on Goodness of Fit Testing for Cognitive Radio

Authors:
Djamel Teguig
Horlin François

Keywords: Cognitive Radio; Spectrum Sensing; Goodness of Fit test; Test Statistic

Abstract:
Recently, the Goodness of Fit Test (GoF) has been applied for hypothesis testing in the case of spectrum sensing for Cognitive Radio (CR). GoF sensing has the desirable feature of needing only a few samples to perform sensing. In this paper, we first compare the existing GoF sensing methods in the literature. Secondly, we study some typical impairment for spectrum sensing, i.e., the effect of a non Gaussian noise, noise uncertainty and Rayleigh fading channel on the performance of GoF based sensing. Thirdly, we propose two GoF sensing methods and compare them against the conventional Anderson Darling (AD) sensing. The first proposed method is the IQ (In-phase and Quadrature components) GoF sensing method, which consists in testing the real and the imaginary part of the received samples against the Gaussian distribution to make a decision. In the second method, we propose a new GoF test statistic by taking into account the physical characteristic of spectrum sensing. The derived GoF sensing method results in significant improvement in terms of sensing performance.

Pages: 11 to 19

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2308-4251

ISBN: 978-1-61208-551-7

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017