Title :

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

Author(s) :

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

Conference title :

2017 IEEE Wireless Communications and Networking Conference (WCNC)

City :

San Francisco

Country :

Etats-Unis d'Amérique

Start date of the conference :

2017-03-19

Publisher :

IEEE

English keyword(s) :

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

HAL domain(s) :

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

English abstract : [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 ...
Show more >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).Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL