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Enhanced DFE-MLSE structure for high-performance optical channel equalization.

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    We developed an enhanced decision feedback equalizer-maximum likelihood sequence estimation (DFE-MLSE) for faster optical fiber communications. This advanced algorithm improves signal equalization, paving the way for higher data rates in short-reach networks.

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    Area of Science:

    • Optical Communications
    • Signal Processing

    Background:

    • Maximum Likelihood Sequence Estimation (MLSE) complexity is reduced by channel memory-shortening filters in low-bandwidth optical systems.
    • High-speed fiber optic communication systems require advanced equalization techniques.

    Purpose of the Study:

    • To propose and validate an enhanced Decision Feedback Equalizer-MLSE (DFE-MLSE) for high-speed optical fiber communication systems.
    • To improve channel equalization performance in pulse-amplitude modulation level-4 (PAM-4) systems.

    Main Methods:

    • Introduced a dispersion filter to adjust channel memory length.
    • Directly applied feedback filter coefficients in MLSE branch metric calculations.
    • Experimentally validated the enhanced DFE-MLSE in a PAM-4 system at 112 GBd over 2 km.

    Main Results:

    • The enhanced DFE-MLSE achieved approximately 0.5 dB improvement over the previous DFE-MLSE at a bit error rate of 3.8·10-3.
    • Demonstrated improved channel equalization performance.

    Conclusions:

    • The enhanced DFE-MLSE algorithm shows significant potential for enabling 200 Gbps transmission in short-reach optical networks.
    • The proposed method effectively improves equalization performance in high-speed optical communication systems.