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    A new digital signal processing algorithm for Kramers-Kronig (KK) receivers enables real-time optical signal detection at 2 samples per symbol, matching conventional performance with reduced data rates.

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    Area of Science:

    • Optical Communications
    • Digital Signal Processing
    • Photonics

    Background:

    • Kramers-Kronig (KK) receivers can retrieve phase information from optical intensity for single-sideband (SSB) signals.
    • This allows direct detection of SSB signals, avoiding signal-signal beat interference and linear transmission impairments.
    • Conventional KK algorithms require high digital upsampling due to spectral broadening from nonlinear operations, hindering real-time implementation.

    Purpose of the Study:

    • To develop a new digital signal processing (DSP) algorithm for KK receivers.
    • To enable KK receiver operation at a reduced rate of 2 samples per symbol.
    • To maintain performance while overcoming limitations of conventional KK DSP algorithms.

    Main Methods:

    • Proposed a novel DSP algorithm for KK receivers.
    • Employed mathematical approximations to eliminate nonlinear operations like logarithm and exponential functions.
    • Demonstrated the algorithm's effectiveness in transmitting a 112-Gb/s SSB orthogonal frequency-division-multiplexed signal over an 80-km fiber link.

    Main Results:

    • The proposed algorithm operates effectively at 2 samples per symbol.
    • Achieved performance comparable to the conventional KK algorithm operating at 6 samples per symbol.
    • Presented a detailed error analysis comparing the new algorithm with the conventional approach.

    Conclusions:

    • The new DSP algorithm significantly enhances the real-time feasibility of KK receivers.
    • Reduced sampling rates are achievable without compromising signal detection performance.
    • This advancement paves the way for more efficient optical communication systems.