La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS

SNR estimation for FM-DCSK system over multipath rayleigh fading channels

Cai, Guofa et Wang, Lin et Kong, Long et Kaddoum, Georges. 2016. « SNR estimation for FM-DCSK system over multipath rayleigh fading channels ». In IEEE 83rd Vehicular Technology Conference (VTC 2016-Spring) (Nanjing, China, May 15–18, 2016) Institute of Electrical and Electronics Engineers Inc..


Télécharger (165kB) | Prévisualisation


In this paper, we deal with the problem of maximum likelihood (ML) estimation of the signal-to-noise ratio (SNR) parameter for frequency modulated differential chaos shift key (FM-DCSK) system over multipath Rayleigh fading channels. The ML estimators are derived for various scenarios including data-aided (DA), non-data aided (NDA) and joint DA-NDA estimation by using both the data and pilot symbols. For comparison purposes, the Cramér-Rao lower bounds (CRLBs) for the SNR estimators are derived. The performance of the estimators is evaluated by simulations and comparing with CRLBs in terms of the mean-square-error. Simulated results show that for a large spreading factor the proposed scheme performs well over a wide SNR range in comparisons with CRLBs.

Type de document: Compte rendu de conférence
Kaddoum, Georges
Affiliation: Génie électrique
Date de dépôt: 30 mai 2016 16:16
Dernière modification: 07 sept. 2016 16:01

Actions (Authentification requise)

Dernière vérification avant le dépôt Dernière vérification avant le dépôt

Statistiques de téléchargement

Plus de statistiques ...