Goodness-Of-Fit-Based Non-Parametric Spectrum Sensing Under Middleton Noise For Cognitive Radio

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DC Field	Value	Language
dc.contributor.author	Patel, D. K.	-
dc.contributor.author	Trivedi, Y. N.	-
dc.date.accessioned	2015-03-18T07:44:04Z	-
dc.date.available	2015-03-18T07:44:04Z	-
dc.date.issued	2015-03-05	-
dc.identifier.issn	0013-5194	-
dc.identifier.issn	14930773 (INSPEC Accession Number)	-
dc.identifier.other	10.1049/el.2014.3780 (DOI)	-
dc.identifier.uri	http://hdl.handle.net/123456789/5352	-
dc.description	Electronics Letters, Vol. 51 (5), March 05, 2015, Page No. 419 - 421	en_US
dc.description.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.	en_US
dc.publisher	IEEE (IET Journals & Magazines )	en_US
dc.relation.ispartofseries	ITFEC002-16;	-
dc.subject	EC Faculty Paper	en_US
dc.subject	Faculty Paper	en_US
dc.subject	ITFEC002	en_US
dc.title	Goodness-Of-Fit-Based Non-Parametric Spectrum Sensing Under Middleton Noise For Cognitive Radio	en_US
dc.type	Faculty Papers	en_US
Appears in Collections:	Faculty Papers, EC

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