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Optimized equalization based on MAP detection for C-band bandwidth-limited IM/DD systems.

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    A new CNS-CSF-MAP scheme effectively mitigates dynamic and deterministic inter-symbol interferences (ISIs) in optical IM/DD systems. This method improves transmission capacity and offers significant performance gains over conventional schemes.

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    Area of Science:

    • Optical communications
    • Signal processing

    Background:

    • Inter-symbol interference (ISI) in intensity modulation and direct detection (IM/DD) systems limits transmission capacity.
    • Complicated channel impairments cause entangled dynamic and deterministic ISIs.

    Purpose of the Study:

    • To propose a novel scheme for disentangling and mitigating both dynamic and deterministic ISIs.
    • To enhance the transmission capacity of IM/DD systems.

    Main Methods:

    • A colored noise-suppressed channel shortening filter (CNS-CSF) was developed for optimized dynamic ISI equalization and noise suppression.
    • A maximum a posteriori (MAP) estimation algorithm was employed to eliminate residual deterministic ISI.
    • The CNS-CSF-MAP scheme was evaluated in a C-band 61-Gb/s 100-km optical on-off keying (OOK) IM/DD system.

    Main Results:

    • The CNS-CSF-MAP scheme achieved 20% and 7% forward error correction (FEC) thresholds at received optical powers (ROPs) of -6.6 dBm and -4 dBm, respectively.
    • The proposed scheme demonstrated 0.5-dB and 1.5-dB gains compared to the conventional post-filter-enabled MAP (PF-MAP) scheme.
    • Effective mitigation of both dynamic and deterministic ISIs was experimentally verified.

    Conclusions:

    • The CNS-CSF-MAP scheme offers a superior solution for managing complex ISI challenges in optical IM/DD systems.
    • This approach significantly enhances system performance and opens possibilities for higher data rates.