
In this paper a blind MIMO space-time equalizer is described, dedicated to convolutive mixtures when observations have been pre-whitened. Filters preserving space-time whiteness are paraunitary; a parameterization of such filters is proposed. Theoretical developments then lead to a numerical algorithm that sweeps all pairs of delayed outputs. This algorithm involves the solution of a polynomial system, whose coefficients depend on the output cumulants. Simulations and performance of the numerical algorithm are reported.
Signal theory (characterization, reconstruction, filtering, etc.), MIMO chnnel, Blind deconvolution, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Detection theory in information and communication theory, Para-unitary filter., blind equalization, multiple-input/multiple-output (MIMO), paraunitary filter, pairwise cumulants, Para-unitary filter, blind deconvolution, High Order Statistics (HOS), Blind equalization, Multiple-Input Multiple-Output, high order statistics (HOS), [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Signal theory (characterization, reconstruction, filtering, etc.), MIMO chnnel, Blind deconvolution, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Detection theory in information and communication theory, Para-unitary filter., blind equalization, multiple-input/multiple-output (MIMO), paraunitary filter, pairwise cumulants, Para-unitary filter, blind deconvolution, High Order Statistics (HOS), Blind equalization, Multiple-Input Multiple-Output, high order statistics (HOS), [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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