Title :
Channel Estimation Methods Based on Volterra Kernels for MLSD in Optical Communication Systems
Author_Institution :
Div. of Comput. & Commun. Eng., Korea Univ., Seoul, South Korea
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 detection; maximum likelihood sequence estimation; optical communication; Volterra kernels; channel estimation methods; channel parameter estimation scheme; chromatic dispersion; dispersive optical channel impairments; electrical postdetection signals; maximum likelihood sequence detection; nonlinear distortion; optical communication systems; polarization-mode dispersion; Channel estimation; Volterra kernel; maximum likelihood sequence detection (MLSD);
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2009.2037726