On the impact of the covariance matrix size for spectrum sensing methods:beamforming versus eigenvalues - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

On the impact of the covariance matrix size for spectrum sensing methods:beamforming versus eigenvalues

Résumé

In this paper, we investigate the impact of the covariance matrix (CM) size of the received signal on the performance of spectrum sensing methods. Our analysis is based on two well-known methods of spectrum sensing (SS), one based on the eigenvalues called maximum-to minimum eigenvalue (MME) and the other is based on the beamforming technique called maximum-to-minimum beam energy (MMBE). From an analytical development, we provide an explanation about the gap of detection performance between the two algorithms according to the size of the CM. Finally, we provide some simulations results to show the impacts of the smoothing factor and the number of antennas on the detection performance for both methods. These two parameters define the size of the CM of the received signal.
Fichier non déposé

Dates et versions

hal-03383700 , version 1 (18-10-2021)

Identifiants

Citer

Kais Bouallegue, Matthieu Crussière, Iyad Dayoub. On the impact of the covariance matrix size for spectrum sensing methods:beamforming versus eigenvalues. 24th IEEE Symposium on Computers and Communications (ISCC 2019), Jun 2019, Barcelona, Spain. pp.95-99, ⟨10.1109/ISCC47284.2019.8969741⟩. ⟨hal-03383700⟩
27 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More