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Nonlinear compensation with DBP aided by a memory polynomial.

João Gonçalves, Celestino S Martins, Fernando P Guiomar

    Optics Express
    |January 7, 2017
    PubMed
    Summary

    This study introduces an improved digital backpropagation (DBP) method using the split step Fourier method (SSFM) and a memory polynomial (MP) model for fiber nonlinearity compensation. The new approach significantly reduces computational complexity while maintaining transmission performance.

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    Area of Science:

    • Optical Communications
    • Signal Processing
    • Nonlinear Optics

    Background:

    • Fiber optic communication systems face performance degradation due to nonlinear effects.
    • Digital backpropagation (DBP) is a key technique for compensating these nonlinearities.
    • Existing DBP methods, like DBP-SSFM, require significant computational resources.

    Purpose of the Study:

    • To develop a more computationally efficient DBP approach for fiber nonlinearity compensation.
    • To numerically validate the performance and complexity of the proposed DBP-SSFM&MP technique.
    • To compare the new method against the standard DBP-SSFM benchmark.

    Main Methods:

    • Utilizing digital backpropagation (DBP) based on the split step Fourier method (SSFM).
    • Incorporating a memory polynomial (MP) model to enhance the DBP algorithm.
    • Numerical validation and performance/complexity comparison in a 336 Gb/s PM-64QAM system.

    Main Results:

    • The proposed DBP-SSFM&MP technique maintains the performance of the benchmark DBP-SSFM.
    • A reduction of over 60% in the required number of iterations was achieved.
    • A 50.7% complexity reduction gain (in real multiplications) was observed for a 1600 km transmission.

    Conclusions:

    • The DBP-SSFM&MP method offers a significant reduction in computational complexity for fiber nonlinearity compensation.
    • This improved DBP approach is effective in maintaining high-performance optical transmissions.
    • The technique presents a practical advancement for future high-speed fiber optic systems.