Electronic dispersion compensation based on maximum likelihood sequence estimation for 10 Gb/s optical communication systems

Xianming Zhu; Srikanth Raghavan; Shiva Kumar

doi:10.1117/12.778935

26 October 2007 Electronic dispersion compensation based on maximum likelihood sequence estimation for 10 Gb/s optical communication systems

Xianming Zhu, Srikanth Raghavan, Shiva Kumar

Author Affiliations +

Proceedings Volume 6796, Photonics North 2007; 679633 (2007) https://doi.org/10.1117/12.778935
Event: Photonics North 2007, 2007, Ottawa, Canada

Abstract

A two-fold oversampling adaptive maximum likelihood sequence estimation (MLSE) receiver based on Viterbi algorithm has been implemented for 10 Gb/s fiber optical communication systems, taking into account the amplified spontaneous emission noise, uncompensated chromatic dispersion, and nonlinearity due to square-law detection. We use the Volterra theory to model the channel nonlinearity, and Recursive Least Square (RLS) algorithm to update the channel characteristics. We estimate the error probability of the adaptive MLSE receiver for return-to-zero (RZ) on-off-keying (OOK) modulation format using standard Monte-Carlo simulation. Our results show that, when propagated along standard single-mode fibre for a bit-error-ratio (BER) of 10^-3, the dispersion tolerance for two-fold oversampling adaptive MLSE receiver is 1.7 times of that for optimum threshold receiver employing no electronic dispersion compensation (EDC) for RZ-OOK signal with 60 % duty cycle. We have also compared the effects of two-fold oversampling and synchronous sampling for the adaptive MLSE receiver, and our results show that the error probability of MLSE receiver can be reduced by an order of magnitude for the same system parameters when the two-fold oversampling is used.

Citation Download Citation

Xianming Zhu, Srikanth Raghavan, and Shiva Kumar "Electronic dispersion compensation based on maximum likelihood sequence estimation for 10 Gb/s optical communication systems", Proc. SPIE 6796, Photonics North 2007, 679633 (26 October 2007); https://doi.org/10.1117/12.778935

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