Principles and practice of information theory
Principles and practice of information theory
Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Joint estimation and decoding of space-time Trellis codes
EURASIP Journal on Applied Signal Processing - Space-time coding and its applications - part I
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Communications
A new class of soft MIMO demodulation algorithms
IEEE Transactions on Signal Processing
Concatenated codes for fading channels based on recursive space-time trellis codes
IEEE Transactions on Wireless Communications
Trellis-coded unitary space-time modulation
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
A space-time coding modem for high-data-rate wireless communications
IEEE Journal on Selected Areas in Communications
Blind acquisition characteristics of PSP-based sequence detectors
IEEE Journal on Selected Areas in Communications
Optimum Receiver Design for Correlated Rician Fading MIMO Channels with Pilot-Aided Detection
IEEE Journal on Selected Areas in Communications
A Gaussian mixture approach to blind equalization of block-oriented wireless communications
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
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We present a joint channel estimation and decoding method for space-time trellis codes (STTC) transmitted over an unknown flat fading multiple-input multiple-output (MIMO) channel. In a blind context, i.e. when pilot symbols are not available, we will show that the probability density function (pdf) of the MIMO channel becomes multimodal due to phase ambiguities. To address this problem, a combined state-space model for the time-varying MIMO channel and the STTC is introduced. The proposed algorithm then uses a Gaussian mixture approach to perform joint channel estimation and soft-output detection. We compare our method to several well known algorithms obtained by collapsing the Gaussian mixture to a single Gaussian distribution. A comparison with sequential Monte Carlo methods is also included. Numerical simulations show that the performances of the proposed blind STTC decoder are close to decoding with perfect channel state information (CSI). As a useful application of the proposed soft-output algorithm, we provide an example of blind iterative decoding of concatenated space-time codes.