Transmit delay structure design for blind channel estimation over multipath channels
EURASIP Journal on Wireless Communications and Networking
A nonlinear prediction approach to the blind separation of convolutive mixtures
EURASIP Journal on Applied Signal Processing
Blind adaptive equalizer for broadband MIMO time reversal STBC based on PDF fitting
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Semi-blind equalization of wireless MIMO frequency selective communication channels
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
| Hi-index | 35.68 |
In this paper, we address the problem of unsupervised (blind) space-time equalization of frequency-selective multiple-input multiple-output (MIMO) channels. The motivation behind this work is that in order to provide the high transmission rates that data-demanding applications require, wireless multiple antenna (MIMO) systems will have to operate in wide bandwidths. In such scenarios, frequency selectivity may induce important intersymbol interference (ISI), in addition to the interuser interference (IUI) that each antenna's transmitted stream of data suffers from the other antennas. Under these conditions, channel estimation of the frequency-selective MIMO channel may become a daunting task that ultimately reduces the effective transmission rate. We present a family of globally convergent blind space-time equalization techniques, developed from multiuser kurtosis output-based criteria, which allow the recovery of the MIMO channel inputs without the training overhead that channel estimation typically requires, thus improving the MIMO channel's spectral efficiency.