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Low-complexity sparse absolute-term based nonlinear equalizer for C-band IM/DD systems.

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    A new sparse nonlinear equalizer significantly cuts computational load in optical systems. This advanced technique reduces complexity for high-speed intensity modulation and direct detection systems.

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    Area of Science:

    • Optical communications engineering
    • Signal processing

    Background:

    • Nonlinear signal distortions degrade performance in intensity modulation and direct detection (IM/DD) systems.
    • Existing nonlinear equalizers often have high computational complexity, limiting their application.

    Purpose of the Study:

    • To propose a low-complexity sparse absolute-term based nonlinear equalizer (AT-NLE) for IM/DD systems.
    • To reduce computational complexity while maintaining performance in optical transmission.

    Main Methods:

    • Developed a sparse AT-NLE using the orthogonal matching pursuit (OMP) algorithm.
    • Adaptively obtained significant kernels for linear and absolute terms.
    • Experimentally evaluated the equalizer in a 56-Gbit/s PAM-4 system over 30-km SSMF.

    Main Results:

    • The sparse AT-NLE achieved similar bit error ratios (BERs) to conventional methods.
    • Reduced real-valued multiplications by 77.7% compared to DP-VNLE and 76% compared to DP-AT-NLE.
    • Decreased computational complexity by over 28% compared to sparse DP-VNLE at a BER of 5 × 10-4.

    Conclusions:

    • The proposed low-complexity sparse AT-NLE effectively eliminates nonlinear distortions.
    • Offers significant computational savings for high-speed IM/DD optical systems.
    • Shows potential for high-performance, low-cost optical transmission solutions.