Blind Recognition of Linear Space–Time Block Codes: A Likelihood-Based Approach - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Signal Processing Année : 2010

Blind Recognition of Linear Space–Time Block Codes: A Likelihood-Based Approach

Résumé

Blind recognition of communication parameters is a research topic of high importance for both military and civilian communication systems. Numerous studies about carrier frequency estimation, modulation recognition as well as channel identification are available in literature. This paper deals with the blind recognition of the space–time block coding (STBC) scheme used in multiple input–multiple-output (MIMO) communication systems. Assuming there is perfect synchronization at the receiver side, this paper proposes three maximum-likelihood (ML)-based approaches for STBC classification: the optimal classifier, the second-order statistic (SOS) classifier, and the code parameter (CP) classifier. While the optimal and the SOS approaches require ideal conditions, the CP classifier is well suited for the blind context where the communication parameters are unknown at the receiver side. Our simulations show that this blind classifier is more easily implemented and yields better performance than those available in literature.
Fichier principal
Vignette du fichier
choqueuse_IEEE_TSP_2008.pdf (1.25 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-00460048 , version 1 (21-06-2010)

Identifiants

Citer

Vincent V. Choqueuse, Mélanie Marazin, Ludovic Collin, Koffi Clément Yao, Gilles Burel. Blind Recognition of Linear Space–Time Block Codes: A Likelihood-Based Approach. IEEE Transactions on Signal Processing, 2010, 58 (3), pp.1290 - 1299. ⟨10.1109/TSP.2009.2036062⟩. ⟨hal-00460048⟩
245 Consultations
670 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More