Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5352
Title: Goodness-Of-Fit-Based Non-Parametric Spectrum Sensing Under Middleton Noise For Cognitive Radio
Authors: Patel, D. K.
Trivedi, Y. N.
Keywords: EC Faculty Paper
Faculty Paper
ITFEC002
Issue Date: 5-Mar-2015
Publisher: IEEE (IET Journals & Magazines )
Series/Report no.: ITFEC002-16;
Abstract: A novel goodness-of-fit-based non-parametric spectrum sensing scheme in a non-Gaussian noise environment, modelled by Middleton class A distribution, is proposed. The sampling distribution of the proposed test statistic is derived and the detection performance is shown using Monte Carlo simulations. Results are presented and it is concluded that the performance is degraded if the Gaussian component in the Middleton noise is higher than the non-Gaussian component.
Description: Electronics Letters, Vol. 51 (5), March 05, 2015, Page No. 419 - 421
URI: http://hdl.handle.net/123456789/5352
ISSN: 0013-5194
14930773 (INSPEC Accession Number)
Appears in Collections:Faculty Papers, EC

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