Title
Constrained Tucker-3 model for blind beamforming
Abstract
This paper presents a constrained Tucker-3 model for blind beamforming. The constrained structure of this model is parameterized by two constraint matrices that capture the spatial and temporal structure of the channel. We first present a generalized Tucker-3 model that considers a multipath propagation scenario with large delay spread and different number of paths per source. This tensor model generalizes the models of [N.D. Sidiropoulos, G.Z. Dimic, Blind multiuser detection in WCDMA systems with large delay spread, IEEE Signal Process. Lett. 8 (3) (2001) 87–89] and [A. de Baynast, L. De Lathauwer, Détection autodidacte pour des systèmes à accès multiple basée sur l’analyse PARAFAC, in: Proceedings of XIX GRETSI Symposium on Signal and Image Processing, Paris, France, 2003] by considering a more general multipath propagation scenario. From this general model, two particular cases can be derived by adjusting the constrained structure of the Tucker-3 core tensor. Identifiability of the proposed tensor model is studied and some simulation results are presented to illustrate the application of this model to blind beamforming.
Year
DOI
Venue
2009
10.1016/j.sigpro.2008.11.016
Signal Processing
Keywords
Field
DocType
Blind beamforming,Equalization,Multipath propagation,Tensor modeling,Wireless communications
Multipath propagation,Signal processing,Beamforming,Mathematical optimization,Detection theory,Tensor,Identifiability,Delay spread,Algorithm,Multiuser detection,Electronic engineering,Mathematics
Journal
Volume
Issue
ISSN
89
6
0165-1684
Citations 
PageRank 
References 
4
0.39
5
Authors
3
Name
Order
Citations
PageRank
André L. F. de Almeida137148.73
GéRard Favier251446.41
João C.M. Mota323018.47