Adaptive filtering-based iterative channel estimation for MIMO wireless communications

Accurate channel state information (CSI) is a prerequisite for diversity and multiplexing gains in multiple-input multiple-output (MIMO) wireless systems. More refined CSI can be attained by bootstrapping channel estimation techniques. We propose adaptive filtering-based iterative channel estimators...

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Bibliographic Details
Main Authors: Jongsoo Choi, Bouchard, M., Tet Hin Yeap
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filtering
Adaptive filters
Channel estimation
Channel state information
Computational efficiency
Iterative algorithms
Iterative methods
iterative receiver
MIMO
MIMO wireless link
Performance gain
Transmitting antennas
Wireless communication
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Description
Summary:Accurate channel state information (CSI) is a prerequisite for diversity and multiplexing gains in multiple-input multiple-output (MIMO) wireless systems. More refined CSI can be attained by bootstrapping channel estimation techniques. We propose adaptive filtering-based iterative channel estimators with the incorporation of an iterative receiver over a flat-fading MIMO wireless link. The performance of three different algorithms with the aid of hard decision feedback is evaluated and compared through simulations. We show that the least-mean-square algorithm is a reasonable choice among the other considered algorithms in terms of performance and feasibility.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2005.1465744