Iterative Second-Order Moment-Based Spectrum Sensing Algorithm in a Cognitive Radio Context

Abstract : This paper deals with a second-order moment-based spectrum sensing algorithm in a cognitive radio context. Based on a joint and iterative channel and noise variance estimator for OFDM systems, the method accurately estimates the noise variance when the primary user's signal is missing from the given band of frequency. By comparing the estimated noise level with the second-order moment of the received signal, it is possible to detect the presence of the user in the band. The algorithm allows the receiver to perform the joint detection, channel and noise variance estimation. The analytical probability and false alarmprobabilities are proposed, and simulations show the accuracy of the detector. Moreover, the proposed method is tested under a desynchronization constraint.
Type de document :
Communication dans un congrès
WSR'14, Mar 2014, Karlsruhe, Germany. 6 p., 2014
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https://hal-supelec.archives-ouvertes.fr/hal-00994978
Contributeur : Myriam Andrieux <>
Soumis le : jeudi 22 mai 2014 - 14:27:13
Dernière modification le : mercredi 16 mai 2018 - 11:23:48

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  • HAL Id : hal-00994978, version 1

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Vincent Savaux, Moïse Djoko-Kouam, Yves Louët, Alexandre Skrzypczak. Iterative Second-Order Moment-Based Spectrum Sensing Algorithm in a Cognitive Radio Context. WSR'14, Mar 2014, Karlsruhe, Germany. 6 p., 2014. 〈hal-00994978〉

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