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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Bibliographic Details
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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Summary: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.
ISSN:1041-1135
1941-0174
DOI:10.1109/LPT.2009.2037726