Paper Info
Title
New Approach for Resolving Ambiguities for Semi-Blind Equalization of MIMO Frequency Selective Channels
Abstract
This paper addresses the semi-blind equalization for a wireless multiple-input multiple-output (MIMO) system with frequency selective channels. When reformulating the convolutive blind signal separation problem to allow the application of ordinary complex independent component analysis (ICA), the number of permutations is increased. An algorithm presented here reduces the ambiguities to those of the non-frequency selective case and is applicable for channels with an arbitrary power delay profile. The remaining ambiguities can be 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
Year
DOI
Venue
2006
10.1109/PIMRC.2006.254379
Helsinki
Keywords
DocType
ISBN
MIMO systems,blind equalisers,blind source separation,channel estimation,convolution,error statistics,independent component analysis,wireless channels,MIMO frequency selective channels,arbitrary power delay profile,bit error rate,complex independent component analysis,convolutive blind signal separation problem,semi-blind equalization,training based channel estimation,wireless multiple-input multiple-output system
Conference
1-4244-0330-8
Citations 
PageRank 
References 
4
0.44
11
Authors
2
Name
Order
Citations
PageRank
Oomke Weikert141.12
Udo Zölzer22712.39