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Proceedings Paper

Volterra based nonlinear equalizer with reduced complexity
Author(s): Daniel Fritzsche; Leonhard Lischka; Dirk Breuer; Christian G. Schäffer
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Paper Abstract

A model for a reduced complexity nonlinear electrical equalizer based on the Volterra theory is presented which can be utilized to mitigate dispersion and other distortions in optical communication systems. In recent years several electronic equalizers like the feed forward equalizer (FFE), the decision feedback equalizer (DFE) and the maximum likelihood sequence estimator (MLSE) were intensively investigated in optical communication systems. Also, nonlinear FFE/DFE structures based on the Volterra theory were proposed. These nonlinear equalizers can mitigate the effects of dispersion much better than the classical FFE/DFE but are more complicated to build. In a practical system the Volterra nonlinearity is therefore limited to second and third order. However, the number of filter coefficients for such a nonlinear FFE of appropriate order (e.g. 5 taps) is still very high for the nonlinear parts. This results in a very high effort in the equalizer control and optimization algorithm and makes a practical implementation questionable. In this Paper we present a reduced model for Volterra based nonlinear equalizers were the order of the nonlinear parts can be set separately from the linear order. This results in less complex filter structures as the number of coefficients is reduced drastically.

Paper Details

Date Published: 19 November 2007
PDF: 8 pages
Proc. SPIE 6783, Optical Transmission, Switching, and Subsystems V, 67831R (19 November 2007); doi: 10.1117/12.745320
Show Author Affiliations
Daniel Fritzsche, T-Systems Enterprise Services GmbH (Germany)
Leonhard Lischka, T-Systems Enterprise Services GmbH (Germany)
Dirk Breuer, T-Systems Enterprise Services GmbH (Germany)
Christian G. Schäffer, Dresden Univ. of Technology (Germany)

Published in SPIE Proceedings Vol. 6783:
Optical Transmission, Switching, and Subsystems V
Dominique Chiaroni; Wanyi Gu; Ken-ichi Kitayama; Chang-Soo Park, Editor(s)

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