Dual mode decision feedback equalization scheme under parallel adaptation

In this paper, we extend the fast convergence blind decision feedback equalization (DFE) scheme developed by Labat, Macchi, and Laot in 1998 so that fast convergence is also possible for larger constellations and noisier conditions. The original scheme starts up with a linear equalizer (LE) and swit...

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Bibliographic Details
Main Authors: Wee Gin Lim, Zhi Hou Lee, Seow Lee Tang
Format: Conference Proceeding
Language:English
Subjects:
Adaptive equalizer
Adaptive equalizers
Additive white noise
AWGN
Bit error rate
blind equalizer
Blind equalizers
Computer science
Convergence
decision feedback equalizer
Decision feedback equalizers
dual mode
Switches
Transversal filters
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Summary:In this paper, we extend the fast convergence blind decision feedback equalization (DFE) scheme developed by Labat, Macchi, and Laot in 1998 so that fast convergence is also possible for larger constellations and noisier conditions. The original scheme starts up with a linear equalizer (LE) and switches to a DFE after the initial convergence has been achieved. The switching criterion between modes is based on the decision directed mean-squared-error. Our proposed scheme simultaneously adapts the LE and the DFE in a parallel fashion such that the switch-over between modes is no longer necessary. Consequently, smoother and possibly faster convergence is achieved as switching disruptions are reduced. The combination techniques are adopted from dual-mode algorithms found in the literature.
ISSN:1531-2216
2332-5798
DOI:10.1109/ICON.2005.1635520