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Channel Estimation Methods Based on Volterra Kernels for MLSD in Optical Communication Systems

Maximum likelihood sequence detection (MLSD) is the most effective electrical domain equalization scheme for mitigating dispersive optical channel impairments such as chromatic dispersion or polarization-mode dispersion. Parameter estimation for MLSD is not straightforward in optical communication s...

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Published in:	IEEE photonics technology letters 2010-02, Vol.22 (4), p.224-226
Main Author:	Chung, Wonzoo
Format:	Article
Language:	English
Subjects:	Channel estimation Channels Chromatic dispersion Conferences Distortion Fiber optics Kernel Kernels Maximum likelihood detection Maximum likelihood estimation maximum likelihood sequence detection (MLSD) Nonlinear optics Optical communication Optical distortion Optical fiber communication Optical fibers Parameter estimation Polarization mode dispersion Volterra kernel
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description	Maximum likelihood sequence detection (MLSD) is the most effective electrical domain equalization scheme for mitigating dispersive optical channel impairments such as chromatic dispersion or polarization-mode dispersion. Parameter estimation for MLSD is not straightforward in optical communication systems due to the square-law nature of photodiodes. We propose a simple and efficient channel parameter estimation scheme for MLSD based on Volterra kernel modeling of the nonlinear distortion of the electrical postdetection signals.
doi_str_mv	10.1109/LPT.2009.2037726
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source	IEEE Electronic Library (IEL) Journals
subjects	Channel estimation Channels Chromatic dispersion Conferences Distortion Fiber optics Kernel Kernels Maximum likelihood detection Maximum likelihood estimation maximum likelihood sequence detection (MLSD) Nonlinear optics Optical communication Optical distortion Optical fiber communication Optical fibers Parameter estimation Polarization mode dispersion Volterra kernel
title	Channel Estimation Methods Based on Volterra Kernels for MLSD in Optical Communication Systems
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