Channel estimation methods based on volterra kernels for MLSD in optical communication systems

Wonzoo Chung

doi:10.1109/LPT.2009.2037726

Channel estimation methods based on volterra kernels for MLSD in optical communication systems

Wonzoo Chung

Department of Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

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.

Original language	English
Article number	5373952
Pages (from-to)	224-226
Number of pages	3
Journal	IEEE Photonics Technology Letters
Volume	22
Issue number	4
DOIs	https://doi.org/10.1109/LPT.2009.2037726
Publication status	Published - 2010 Feb 15

Keywords

Channel estimation
Maximum likelihood sequence detection (MLSD)
Volterra kernel

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

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10.1109/LPT.2009.2037726

Cite this

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abstract = "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.",

keywords = "Channel estimation, Maximum likelihood sequence detection (MLSD), Volterra kernel",

author = "Wonzoo Chung",

note = "Funding Information: Manuscript received September 07, 2009; revised October 26, 2009; accepted November 20, 2009. First published January 08, 2010; current version published January 27, 2010. This work was supported by BK21 2009 and by the Korea Research Foundation Grant (KRF-2007-331-D00189). The author is with Division of Computer and Communications Engineering, Korea University, Seoul 136-701, Korea (e-mail: wchung@korea.ac.kr). Color versions of one or more of the figures in this letter are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/LPT.2009.2037726",

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KW - Volterra kernel

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Channel estimation methods based on volterra kernels for MLSD in optical communication systems

Abstract

Keywords

ASJC Scopus subject areas

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