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 : 13.
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Résumé
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 |
|---|---|
| Professeur: | Professeur Kaddoum, Georges |
| Affiliation: | Génie électrique |
| Date de dépôt: | 30 mai 2016 16:16 |
| Dernière modification: | 07 sept. 2016 16:01 |
| URI: | https://espace2.etsmtl.ca/id/eprint/12665 |
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