Titre :

On Low-Complexity Spectrum Sensing: Analytical Approach Based Spatial Scanning

Auteur(s) :

Bouallegue, Kais [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Dayoub, Iyad [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Gharbi, Mohamed [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Titre de la manifestation scientifique :

2017 IEEE Wireless Communications and Networking Conference (WCNC)

Ville :

San Francisco

Pays :

Etats-Unis d'Amérique

Date de début de la manifestation scientifique :

2017-03-19

Éditeur :

IEEE

Mot(s)-clé(s) en anglais :

"Sensors"
"Covariance matrices"
"Eigenvalues and eigenfunctions"
"Standards"
"Array signal processing"
"Digital TV"
"Antennas"

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Electronique
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]

Résumé en anglais : [en]

In this paper, we propose an analytical expression in order to fix the threshold of the spectrum sensing algorithm called maximum energy beamforming-output-to-input (MEBOI), that we have proposed recently. The threshold ...
Lire la suite >In this paper, we propose an analytical expression in order to fix the threshold of the spectrum sensing algorithm called maximum energy beamforming-output-to-input (MEBOI), that we have proposed recently. The threshold of MEBOI method was estimated using a heavy iterative algorithm. To avoid this issue, a theoretical development based on the probability of false alarm is provided here. Then, the validity of the expression is verified by simulations. After, the complexity order of the MEBOI technique is compared to the well-known maximum-to-minimum eigenvalue (MME) method based on eigenvalue decomposition. Finally, the performance of the proposal is evaluated and compared with existing state of the art algorithms. Simulation results show the ability of our approach to deal with the detection challenge under very low signal-to-noise ratio (SNR).Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL