Blind direct multiuser detection for uplink MC-CDMA: performance analysis and robust implementation
EURASIP Journal on Wireless Communications and Networking - Special issue on innovative signal transmission and detection techniques for next generation cellular CDMA systems
Multiuser channel estimation from higher-order statistical matrix pencil
EURASIP Journal on Applied Signal Processing
Blind source separation based on constant modulus criterion and signal mutual information
Computers and Electrical Engineering
An iterative equalization method for nonirreducible MIMO FIR channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Novel nonlinear signals separation of optimized entropy based on adaptive natural gradient learning
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
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Equalization and estimation of the matrix impulse response function of multiple-input multiple-output (MIMO) digital communications channels in the absence of any training sequences is considered. An iterative, Godard (1980) cost-based approach is considered for spatio-temporal equalization and MIMO impulse response estimation. Stationary points of the cost function are investigated with particular attention to the case when finite-length equalizers exist. Sufficient conditions are derived under which all stable local minima correspond to desirable minima. The inputs are extracted and cancelled one by one. The matrix impulse response is then obtained by cross-correlating the extracted inputs with the observed outputs. Identifiability conditions are analyzed