Maximum-likelihood noncoherent OSTBC detection with polynomial complexity
IEEE Transactions on Wireless Communications
Robust deconvolution for ARMAX models with Gaussian uncertainties
Signal Processing
Optimal OSTBC sequence detection over unknown correlated fading channels
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
IEEE Transactions on Signal Processing
A linear programming receiver for blind detection of full rate space-time block codes
IEEE Transactions on Signal Processing
Performance Comparison of MIMO-STBC Systems with Adaptive Semiblind Channel Estimation Scheme
Wireless Personal Communications: An International Journal
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Space-time coding (STC) schemes for communication systems employing multiple transmit and receive antennas have been attracting increased attention. In this paper, we address two interrelated problems: detection of space-time codes under various interference conditions and information transfer from the STC detector to an error-correcting channel decoder. By taking a systematic maximum-likelihood (ML) approach to the joint detection and decoding problem, we show how to design optimal detectors and how to integrate them with a channel decoder. We also discuss various aspects of channel modeling for STC communication receivers. In particular, while many previous works on space-time coding assume that the channel is a stochastic quantity, we find that a deterministic channel model can have some advantages for the receiver design. Finally, we illustrate our results by numerical examples. Index Terms-Interference suppression, maximum-likelihood estimation, maximum-likelihood sequence detection, MIMO systems, space-time coding, soft information