Semi-blind joint symbols and multipath ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Semi-blind joint symbols and multipath parameters estimation of MIMO systems using KRST/MKRSM coding
Auteur(s) :
Randriambelonoro, S [Auteur]
Favier, G [Auteur]
Signal, Images et Systèmes [Laboratoire I3S - SIS]
Boyer, Remy [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Favier, G [Auteur]
Signal, Images et Systèmes [Laboratoire I3S - SIS]
Boyer, Remy [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Titre de la revue :
Digital Signal Processing
Éditeur :
Elsevier
Date de publication :
2021-02-01
ISSN :
1051-2004
Mot(s)-clé(s) en anglais :
MIMO systems
Khatri-Rao space-time (KRST) coding
multiple Khatri-Rao product of symbol matrices (MKRSM)
multiple Khatri-Rao factorization (MKRF) based decoding
generalized nested PARAFAC model
semi-blind receiver
rectification technique
Khatri-Rao space-time (KRST) coding
multiple Khatri-Rao product of symbol matrices (MKRSM)
multiple Khatri-Rao factorization (MKRF) based decoding
generalized nested PARAFAC model
semi-blind receiver
rectification technique
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Résumé en anglais : [en]
In this paper, we propose a new MIMO communication system in a time-varying multi-path environment, using a Khatri-Rao space-time (KRST) coding combined with a multiple Khatri-Rao product of symbol matrices (MKRSM). It is ...
Lire la suite >In this paper, we propose a new MIMO communication system in a time-varying multi-path environment, using a Khatri-Rao space-time (KRST) coding combined with a multiple Khatri-Rao product of symbol matrices (MKRSM). It is shown the signals received at the receiver form a tensor which satisfies a (M + 2)-order nested PARAFAC model, where (M − 1) denotes the number of symbol matrices considered for MKRSM coding. Such a generalization of the nested PARAFAC model to (M + N)-order tensors is first studied from a general point of view, with the discussion of some parameter estimation methods depending on the a priori knowledge on the model. Then, a semi-blind receiver composed of three stages, is developed for jointly estimating the transmitted symbols and the multipath parameters. In the first stage, the transmitted symbols and a matrix unfolding of the effective channel including the fading coefficients and the steering matrices, are estimated using closed-form algorithms based on Khatri-Rao factorizations. In the second one, the channel estimation is refined by means of a simplified least-squares algorithm which takes the column orthonormality assumption on the coding matrix into account. In the third one, an alternating least-squares algorithm, combined with a rectification for the Vandermonde factors containing the spatial steering vectors at the transmitter and receiver sides, is applied to estimate the multipath parameters from the estimated channel. A complexity analysis is made for the receivers, and an expected Cramer-Rao bound related to channel estimation is established. Extensive Monte Carlo simulation results show that the semi-blind receiver which combines the channel estimation refinement with the rectification technique exhibit very interesting performance.Lire moins >
Lire la suite >In this paper, we propose a new MIMO communication system in a time-varying multi-path environment, using a Khatri-Rao space-time (KRST) coding combined with a multiple Khatri-Rao product of symbol matrices (MKRSM). It is shown the signals received at the receiver form a tensor which satisfies a (M + 2)-order nested PARAFAC model, where (M − 1) denotes the number of symbol matrices considered for MKRSM coding. Such a generalization of the nested PARAFAC model to (M + N)-order tensors is first studied from a general point of view, with the discussion of some parameter estimation methods depending on the a priori knowledge on the model. Then, a semi-blind receiver composed of three stages, is developed for jointly estimating the transmitted symbols and the multipath parameters. In the first stage, the transmitted symbols and a matrix unfolding of the effective channel including the fading coefficients and the steering matrices, are estimated using closed-form algorithms based on Khatri-Rao factorizations. In the second one, the channel estimation is refined by means of a simplified least-squares algorithm which takes the column orthonormality assumption on the coding matrix into account. In the third one, an alternating least-squares algorithm, combined with a rectification for the Vandermonde factors containing the spatial steering vectors at the transmitter and receiver sides, is applied to estimate the multipath parameters from the estimated channel. A complexity analysis is made for the receivers, and an expected Cramer-Rao bound related to channel estimation is established. Extensive Monte Carlo simulation results show that the semi-blind receiver which combines the channel estimation refinement with the rectification technique exhibit very interesting performance.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
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