Titre :

Analysis of the Maximum-likelihood Channel Estimator for OFDM Systems with Unknown Interference

Auteur(s) :

Dermoune, Azzouz [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Simon, Eric [Auteur]
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]

Mot(s)-clé(s) en anglais :

OFDM
interference
channel
estimation
cognitive-radio

Discipline(s) HAL :

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

Résumé en anglais : [en]

—In this paper, a comprehensive theoretical analysis of the maximum-likelihood (ML) channel estimator for OFDM systems with unknown interference is presented. The uniqueness of the solution is analytically demonstrated ...
Lire la suite >—In this paper, a comprehensive theoretical analysis of the maximum-likelihood (ML) channel estimator for OFDM systems with unknown interference is presented. The uniqueness of the solution is analytically demonstrated when the number of transmitted OFDM symbols is strictly greater than one. This solution is derived from the iterative conditional ML (CML) algorithm. It is shown that the channel estimate can be described as an algebraic function whose inputs are the initial value and the means and variances of the received samples. It is also theoretically demonstrated that the channel estimator is not biased, and that the second moment exists as long as the number of transmitted OFDM symbols is strictly greater than three. Furthermore, this is confirmed by numerical results.Lire moins >

Langue :

Anglais

Collections :

• Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL

Date de dépôt :

2025-01-24T18:22:27Z