Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Enhancement of Primary User Detection in Cognitive Radio by Scattering Transform

Azza Moawad 1, 2 Koffi-Clément Yao 2 Ali Mansour 3 Roland Gautier 2
2 Lab-STICC_UBO_CACS_COM
IBNM - Institut Brestois du Numérique et des Mathématiques, Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_ENSTAB_ CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : The detecting of an occupied frequency band is a major issue in cognitive radio systems. The detection process becomes difficult if the signal occupying the band of interest has faded amplitude due to multipath effects. These effects make it hard for an occupying user to be detected. This work mitigates the missed-detection problem in the context of cognitive radio in frequency-selective fading channel by proposing blind channel estimation method that is based on scattering transform. By initially applying conventional energy detection, the missed-detection probability is evaluated and if it is greater than or equal to 50%, channel estimation is applied on the received signal followed by channel equalization to reduce the channel effects. In the proposed channel estimator, we modify the Morlet wavelet by using its first derivative for better frequency resolution. A mathematical description of the modified function and its frequency resolution is formulated in this work. The improved frequency resolution is required to follow the spectral variation of the channel. The channel estimation error is evaluated in the mean-square sense for different channel settings and energy detection is applied to the equalized received signal. The simulation results show improvement in reducing the missed-detection probability as compared to the detection based on principal component analysis. This improvement is achived on the expense of increased estimator complexity, which depends on the number of wavelet filters as related to the channel taps. Also,the detection performance shows an improvement in detection probability for low signal-to-noise scenarios over principal component analysis-based energy detection.
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01707201
Contributeur : Claude Morvan <>
Soumis le : mardi 27 février 2018 - 08:51:07
Dernière modification le : mercredi 24 juin 2020 - 16:19:51

Identifiants

  • HAL Id : hal-01707201, version 1

Citation

Azza Moawad, Koffi-Clément Yao, Ali Mansour, Roland Gautier. Enhancement of Primary User Detection in Cognitive Radio by Scattering Transform. 19th International conference on electronics and wireless communications (ICEWC), Oct 2017, Istanbul, Turkey. ⟨hal-01707201⟩

Partager

Métriques

Consultations de la notice

174