Semi-blind equalization of wireless MIMO frequency selective communication channels

Authors:
Oomke Weikert;Christian Klünder;Udo Zölzer
Affiliations:
Department of Signal Processing and Communications, Helmut-Schmidt-University – University of Federal Armed Forces Hamburg, Germany, Hamburg, Germany;Department of Signal Processing and Communications, Helmut-Schmidt-University – University of Federal Armed Forces Hamburg, Germany, Hamburg, Germany;Department of Signal Processing and Communications, Helmut-Schmidt-University – University of Federal Armed Forces Hamburg, Germany, Hamburg, Germany
Venue:
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Year:
2006

Citing 2
Cited 0

Unsupervised receiver processing techniques for linear space-time equalization of wideband multiple input / multiple output channels

IEEE Transactions on Signal Processing
Training-based channel estimation for multiple-antenna broadband transmissions

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Abstract

The semi-blind equalization for a wireless multiple-input multiple-output (MIMO) system with frequency selective Ricean channels is addressed. A reformulation of the problem accepting higher complexity allows to apply ordinary complex Independent Component Analysis (ICA). An algorithm presented here resolves the increased number of permutations due to the reformulation of the convolutive blind signal separation problem. The remaining ambiguities are as many as in the non-frequency selective case and solved by a short preamble. The efficiency of the proposed method is illustrated by numerical simulations. According to the Bit Error Rate the semi-blind equalization shows a good performance in comparison to training based channel estimation & equalization.