Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2431
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dc.contributor.authorHiremath, S M-
dc.contributor.authorPatra, S K-
dc.contributor.authorMishra, A K-
dc.date.accessioned2016-01-11T10:00:38Z-
dc.date.available2016-01-11T10:00:38Z-
dc.date.issued2015-12-
dc.identifier.citation5th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), Hyderabad, India, 13-16 Dec 2015en_US
dc.identifier.urihttp://hdl.handle.net/2080/2431-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractCognitive radio is the emerging standard for spectrum efficient wireless systems. Heart of cognitive radio is spectrum sensing, which requires the detection of the primary user in worst environmental condition and make the way for the secondary user to use the unused spectrum efficiently. More recently time-frequency based spectrum sensing techniques are examined for simultaneous detection of unused spectrum in time and frequency domain. Time-frequency distribution of received signal is obtained using time-frequency tool to enhance the information preserved in the noisy signal. This paper investigates the cooperative spectrum sensing using modified Wigner-Ville detection, called S-method time-frequency distribution. The paper uses the S-method detector as local spectrum sensing unit and hard-combining at fusion center to make the global decision. Performance of the time-frequency based cooperative sensing is quantified using ROC curve.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectCognitive radioen_US
dc.subjectTime-Frequency Representation (TFR)en_US
dc.subjectS-methoden_US
dc.subjectCooperative spectrum sensingen_US
dc.titleHard-Combined Cooperative Spectrum Sensing Using Time-Frequency Methoden_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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