The Data Reuse LMS Channel Estimation Algorithm in Turbo Equalization

The channel estimation is a vital part of turbo equalization. The structure of combined channel estimation and turbo equalization iterative update is presented in this paper. The low computation complexity algorithm called soft decision feedback LMS algorithm is used in channel estimation and the da...

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Bibliographic Details
Published in:2009 5th International Conference on Wireless Communications, Networking and Mobile Computing pp. 1 - 4
Main Authors: Hua Xu, Gaofei Sun, Ming Li
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2009
Subjects:
Channel estimation
Computational complexity
Convergence
Data engineering
Decision feedback equalizers
Fading
Iterative algorithms
Iterative decoding
Iterative methods
Least squares approximation
ISBN:9781424436927, 1424436923, 1424436915, 9781424436910
ISSN:2161-9646
Online Access:Get full text
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Summary:The channel estimation is a vital part of turbo equalization. The structure of combined channel estimation and turbo equalization iterative update is presented in this paper. The low computation complexity algorithm called soft decision feedback LMS algorithm is used in channel estimation and the data-reused method is used in the initial channel estimation to overcome the problem of low convergence rate for LMS algorithm. The result of simulation shows that the turbo equalizer with this channel estimation method not only has good performance but also has ability to tracking the fast varying channel.
ISBN:9781424436927
1424436923
1424436915
9781424436910
ISSN:2161-9646
DOI:10.1109/WICOM.2009.5303687