Rank, decomposition, and uniqueness for 3-way and n-way arrays
Multiway data analysis
Orthogonal tensor decomposition of 3-way tables
Multiway data analysis
A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
Space Time Coding for Broadband Wireless Communications
Space Time Coding for Broadband Wireless Communications
MIMO Wireless Communications: From Real-World Propagation to Space-Time Code Design
MIMO Wireless Communications: From Real-World Propagation to Space-Time Code Design
Blind PARAFAC signal detection for polarization sensitive array
EURASIP Journal on Applied Signal Processing
On fast-decodable space-time block codes
IEEE Transactions on Information Theory
Blind multipath MIMO channel parameter estimation using the Parafac decomposition
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Blind spatial signature estimation via time-varying user power loading and parallel factor analysis
IEEE Transactions on Signal Processing
Blind PARAFAC receivers for DS-CDMA systems
IEEE Transactions on Signal Processing
Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization
IEEE Transactions on Signal Processing
Blind MIMO System Estimation Based on PARAFAC Decomposition of Higher Order Output Tensors
IEEE Transactions on Signal Processing
Parallel factor analysis in sensor array processing
IEEE Transactions on Signal Processing
PARAFAC-Based Blind Estimation Of Possibly Underdetermined Convolutive MIMO Systems
IEEE Transactions on Signal Processing
A Constrained Factor Decomposition With Application to MIMO Antenna Systems
IEEE Transactions on Signal Processing
Constrained Tensor Modeling Approach to Blind Multiple-Antenna CDMA Schemes
IEEE Transactions on Signal Processing
Almost-sure identifiability of multidimensional harmonic retrieval
IEEE Transactions on Signal Processing
Blind identification and source separation in 2×3 under-determined mixtures
IEEE Transactions on Signal Processing
Quasi-orthogonal STBC with minimum decoding complexity
IEEE Transactions on Wireless Communications
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
Generalizing Caratheodory's uniqueness of harmonic parameterization to N dimensions
IEEE Transactions on Information Theory
High-rate codes that are linear in space and time
IEEE Transactions on Information Theory
Orthogonal designs with maximal rates
IEEE Transactions on Information Theory
Hi-index | 0.08 |
In this paper, we propose a deterministic tensor-based approach for joint channel and symbol estimation in the context of multiuser single-input multi-output (SIMO) CDMA communication systems. We use a new nonlinear (NL) coding allowing to obtain a third-order block-Tucker2 model for the signals received by multiple receive antennas, with a constrained structure for the core tensors that ensures the uniqueness of the tensor model. Assuming that the users' code matrices are mutually orthogonal and known at the receiver, we derive a blind algorithm composed of two steps: a separation of users' contributions in the received signals, with decoding, followed by a blind channel and symbol estimation for each user separately. Some simulation results are provided to illustrate the performance of the proposed blind receiver.