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

Cai, Guofa, Wang, Lin, 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..
Compte des citations dans Scopus : 9.

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Abstract

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.

Item Type:	Conference proceeding
Professor:	Professor Kaddoum, Georges
Affiliation:	Génie électrique
Date Deposited:	30 May 2016 16:16
Last Modified:	07 Sep 2016 16:01
URI:	https://espace2.etsmtl.ca/id/eprint/12665

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