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The effect of noise correlation on fractional sampling based spectrum sensing
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (Signal Processing)ORCID iD: 0000-0003-2298-6774
2013 (English)In: Communications (ICC), 2013 IEEE International Conference on, IEEE , 2013, 2589-2594 p.Conference paper (Refereed)
Abstract [en]

This paper considers a Fractional Sampling (FS) technique to enhance the Spectrum Sensing (SS) efficiency of a Cognitive Radio (CR) using a decision statistic based on asymptotic Random Matrix Theory (RMT). Firstly, the effect of noise correlation on eigenvalue based SS is studied analytically and by numerical evaluation. Secondly, new bounds for the Standard Condition Number (SCN) are proposed to enhance the SS efficiency in correlated noise scenarios. It is shown that proposed FS method can enhance SS efficiency up to certain FS rates at the expense of receiver complexity and no performance advantage is obtained if the FS rate is increased beyond this limit. As a result, a method for determining the operating point for the FS rate in terms of sensing performance and complexity is suggested.

Place, publisher, year, edition, pages
IEEE , 2013. 2589-2594 p.
, IEEE International Conference on Communications, ISSN 1550-3607
Keyword [en]
Eigenvalue Distribution, Fractional Sampling, Noise Correlation, Spectrum Sensing
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-139006DOI: 10.1109/ICC.2013.6654925ScopusID: 2-s2.0-84891359357ISBN: 978-146733122-7OAI: diva2:682126
2013 IEEE International Conference on Communications, ICC 2013; Budapest; Hungary; 9 June 2013 through 13 June 2013

QC 20140212

Available from: 2013-12-23 Created: 2013-12-23 Last updated: 2014-02-12Bibliographically approved

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Ottersten, Björn
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Signal ProcessingACCESS Linnaeus Centre
Signal Processing

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ReferencesLink to record
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