Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems

Edson Porto da silva, Metodi Plamenov Yankov

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In this paper, the performance of adaptive turbo equalization for nonlinearity compensation (NLC) is investigated. A turbo equalization scheme is proposed where a recursive least squares (RLS) algorithm is used as an adaptive channel estimator to track the time-varying intersymbol interference (ISI) coefficients associated with inter-channel nonlinear interference (NLI) model. The estimated channel coefficients are used by a MIMO 22 soft-input soft-output (SISO) linear minimum mean square error (LMMSE) equalizer to compensate for the time-varying ISI. The SISO LMMSE equalizer and the SISO forward error correction (FEC) decoder exchange extrinsic information in every turbo iteration, allowing the receiver to improve the performance of the channel estimation and the equalization, achieving lower bit-error-rate (BER) values. The proposed scheme is investigated for polarization multiplexed 64QAM and 256QAM, although it applies to any proper modulation format. Extensive numerical results are presented. It is shown that the scheme allows up to 0.7 dB extra gain in effectively received signal-to-noise ratio (SNR) and up to 0.2 bits/symbol/pol in generalized mutual information (GMI), on top of the gain provided by single-channel digital backpropagation.

Original languageEnglish
JournalJournal of Lightwave Technology
Issue number22
Pages (from-to)7124 - 7134
Publication statusPublished - 2021


  • Adaptive equalizers
  • Channel estimation
  • Decoding
  • Digital Backpropagation
  • Nonlinearity Compensation
  • Optical fiber dispersion
  • Optical fibers
  • Signal to noise ratio
  • Turbo Equalization
  • Wavelength division multiplexing


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