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Zero-Crossings Based Spectrum Sensing Under Noise Uncertainties

Gurugopinath, Sanjeev and Murthy, Chandra R and Seelamantula, Chandra Sekhar (2014) Zero-Crossings Based Spectrum Sensing Under Noise Uncertainties. In: 2014 TWENTIETH NATIONAL CONFERENCE ON COMMUNICATIONS (NCC) .

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In this work, the hypothesis testing problem of spectrum sensing in a cognitive radio is formulated as a Goodness-of-fit test against the general class of noise distributions used in most communications-related applications. A simple, general, and powerful spectrum sensing technique based on the number of weighted zero-crossings in the observations is proposed. For the cases of uniform and exponential weights, an expression for computing the near-optimal detection threshold that meets a given false alarm probability constraint is obtained. The proposed detector is shown to be robust to two commonly encountered types of noise uncertainties, namely, the noise model uncertainty, where the PDF of the noise process is not completely known, and the noise parameter uncertainty, where the parameters associated with the noise PDF are either partially or completely unknown. Simulation results validate our analysis, and illustrate the performance benefits of the proposed technique relative to existing methods, especially in the low SNR regime and in the presence of noise uncertainties.

Item Type: Journal Article
Series.: National Conference on Communications NCC
Publisher: IEEE
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: Spectrum sensing; goodness-of-fit; zero-crossings; noise uncertainties; non-Gaussian noise
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Division of Electrical Sciences > Electrical Engineering
Date Deposited: 19 Jul 2015 09:31
Last Modified: 19 Jul 2015 09:31
URI: http://eprints.iisc.ac.in/id/eprint/51855

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