Performance of Spectrum Sensing Algorithms Under Fading, Electromagnetic Interference and Outliers

Sahasranand, KR and Sharma, Vinod (2015) Performance of Spectrum Sensing Algorithms Under Fading, Electromagnetic Interference and Outliers. In: 21st National Conference on Communications (NCC), FEB 27-MAR 01, 2015, Indian Inst Technol, Bombay, INDIA.

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Abstract

In this paper, we study the effects of shadowing-fading, electromagnetic interference and outliers on sequential algorithms in detecting spectral holes in a Cognitive Radio set up. The statistics of the primary signal, channel gain and the EMI are not known. Different nonparametric sequential algorithms are compared to choose appropriate algorithms to be used for energy detection and mean change detection. Modification of a recently developed random walk test is found to work well for energy detection as well as for mean change detection. We show via simulations and analysis that the nonparametric algorithms developed are robust to fading, EMI and outliers.

Item Type:	Conference Proceedings
Series.:	National Conference on Communications NCC
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	26 Aug 2016 09:13
Last Modified:	26 Aug 2016 09:13
URI:	http://eprints.iisc.ac.in/id/eprint/54567

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