On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
MIMO Wireless Communications: From Real-World Propagation to Space-Time Code Design
MIMO Wireless Communications: From Real-World Propagation to Space-Time Code Design
Adaptive algorithms to track the PARAFAC decomposition of a third-order tensor
IEEE Transactions on Signal Processing
On fast-decodable space-time block codes
IEEE Transactions on Information Theory
Blind PARAFAC receivers for DS-CDMA systems
IEEE Transactions on Signal Processing
A Block Component Model-Based Blind DS-CDMA Receiver
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Parallel factor analysis in sensor array processing
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
Blind Deconvolution of DS-CDMA Signals by Means of Decomposition in Rank- Terms
IEEE Transactions on Signal Processing
Quasi-orthogonal STBC with minimum decoding complexity
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
A construction of a space-time code based on number theory
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Orthogonal designs with maximal rates
IEEE Transactions on Information Theory
Diversity-multiplexing tradeoff in multiple-access channels
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
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In this paper, we propose a tensor space-time (TST) coding for multiple-input multiple-output (MIMO) wireless communication systems. The originality of TST coding is that it allows spreading and multiplexing the transmitted symbols, belonging to R data streams, in both space (antennas) and time (chips and blocks) domains, owing the use of two (stream- and antenna-to-block) allocation matrices. This TST coding is defined in terms of a third-order code tensor admitting transmit antenna, data stream and chip as modes. Assuming flat Rayleigh fading propagation channels, the signals received by K receive antennas during P time blocks, composed of N symbol periods each, with J chips per symbol, form a fourth-order tensor that satisfies a new constrained tensor model, called a PARATUCK-(2,4) model. Conditions for identifiability and uniqueness of this model are established, and a performance analysis of TST coding is made, before presenting a blind receiver for joint channel estimation and symbol recovery. Finally, some simulation results are provided to evaluate the performance of this receiver.