Turbo equalization: principles and new results

We study the turbo equalization approach to coded data transmission over channels with intersymbol interference. In the original system invented by Douillard et al. (1995), the data are protected by a convolutional code and the receiver consists of two trellis-based detectors, one for the channel (t...

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Bibliographic Details
Published in:IEEE transactions on communications 2002-05, Vol.50 (5), p.754-767
Main Authors: Tuchler, M., Koetter, R., Singer, A.C.
Format: Article
Language:English
Subjects:
Bit error rate
Channels
Computational modeling
Convolutional codes
Data communication
Data transmission
Decoding
Detectors
Equalization
Equalizers
Filtering
Intersymbol interference
Iterative decoding
Maximum likelihood detection
Protection
Receivers
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Summary:We study the turbo equalization approach to coded data transmission over channels with intersymbol interference. In the original system invented by Douillard et al. (1995), the data are protected by a convolutional code and the receiver consists of two trellis-based detectors, one for the channel (the equalizer) and one for the code (the decoder). It has been shown that iterating equalization and decoding tasks can yield tremendous improvements in bit error rate. We introduce new approaches to combining equalization based on linear filtering, with decoding.. Through simulation and analytical results, we show that the performance of the new approaches is similar to the trellis-based receiver, while providing large savings in computational complexity. Moreover, this paper provides an overview of the design alternatives for turbo equalization with given system parameters, such as the channel response or the signal-to-noise ratio.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2002.1006557