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Related Experiment Videos

Joint carrier phase and frequency-offset estimation with parallel implementation for dual-polarization coherent

Jianing Lu, Xiang Li, Songnian Fu

    Optics Express
    |April 7, 2017
    PubMed
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    We developed a new algorithm for coherent optical receivers to improve signal estimation. This method enhances performance and reduces acquisition time for frequency offset estimation (FOE).

    Area of Science:

    • Optical Communications
    • Signal Processing
    • Digital Signal Processing

    Background:

    • Coherent optical receivers require accurate carrier phase and frequency offset estimation (FOE) for reliable data recovery.
    • Existing methods for FOE may suffer from long acquisition times or limited dynamic range.

    Purpose of the Study:

    • To introduce a novel dual-polarization complex-weighted, decision-aided, maximum-likelihood algorithm with superscalar parallelization (SSP-DP-CW-DA-ML).
    • To improve the performance and reduce the acquisition time for joint carrier phase and frequency offset estimation in coherent optical systems.

    Main Methods:

    • The proposed SSP-DP-CW-DA-ML algorithm utilizes pre-compensation of phase offset between dual polarizations.
    • A modified superscalar parallelization (SSP) implementation reduces training symbol requirements by transferring complex filter weights.

    Related Experiment Videos

  • Differential coding/decoding is not required, simplifying the process.
  • Main Results:

    • The algorithm demonstrates substantial performance improvements through phase offset pre-compensation.
    • Acquisition time for frequency offset (FO) and the number of training symbols are significantly reduced.
    • Laser linewidth tolerance is comparable to traditional blind phase search (BPS).
    • A complete frequency offset estimation (FOE) range of ± symbol rate/2 is achieved.

    Conclusions:

    • The SSP-DP-CW-DA-ML algorithm offers an efficient and robust solution for joint carrier phase and frequency offset estimation.
    • Experimental verification using 10 Gbaud DP-16/32-QAM formats confirms the algorithm's effectiveness in back-to-back transmissions.