Cognitive Radio Sensing Using Hilbert Huang Transform

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dc.contributor.authorNarayanankutty, K. A.
dc.contributor.authorA. Nair, Abhijith
dc.contributor.authorSoori, Dilip
dc.contributor.authorPradeep, Deepak
dc.contributor.authorTeja, V. Ravi
dc.contributor.authorK.B., Vishnu
dc.date.accessioned2016-10-26T11:35:40Z
dc.date.available2016-10-26T11:35:40Z
dc.date.issued2010-07
dc.description.abstractVast segments of the frequency spectrum are reserved for primary (licensed) users. These legacy users often un-der-utilize their reserved spectrum thus causing bandwidth waste. The unlicensed (secondary) users can take advantage of this fact and exploit the spectral holes (vacant spectrum segments). Since spectrum occupancy is transient in nature it is imperative that the spectral holes are identified as fast as possible. To accomplish this, we propose a novel adaptive spectrum sensing procedure. This procedure scans a wideband spectrum using Hilbert Huang Transform and detects the spectral holes present in the spectrum.en_US
dc.identifier.citationWireless Engineering and Technology, 2010, 1, 36-40en_US
dc.identifier.urihttp://dx.doi.org/10.4236/wet.2010.11006
dc.identifier.urihttp://hdl.handle.net/123456789/1061
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectEmpirical Mode Decomposition (EMD)en_US
dc.subjectEnsemble Empirical Mode Decomposition (EEMD)en_US
dc.subjectIntrinsic Mode Function (IMF)en_US
dc.subjectNoise Assisted Data Analysis (NADA)en_US
dc.subjectCognitive Radio, Guard Banden_US
dc.subjectSpectrum Sensingen_US
dc.titleCognitive Radio Sensing Using Hilbert Huang Transformen_US
dc.typeArticleen_US
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