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Photonic time-stretch based on phase modulation for sub-octave applications.

Hongxia He, Shuna Yang, Bo Yang

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    Summary
    This summary is machine-generated.

    We introduce a novel photonic time-stretch (PTS) system using phase modulation (PM) for sub-octave signal processing. This PM-based PTS system offers improved stability and avoids nonlinear distortions, making it ideal for analog-to-digital converters.

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    Area of Science:

    • Optoelectronics
    • Signal Processing
    • Photonics

    Background:

    • Photonic time-stretch (PTS) systems are crucial for high-speed analog-to-digital converters.
    • Existing Mach-Zehnder modulator (MZM)-based PTS systems have limitations in bandwidth and susceptibility to bias drift and nonlinear distortions.

    Purpose of the Study:

    • To propose and demonstrate a novel photonic time-stretch (PTS) system utilizing phase modulation (PM).
    • To adapt PTS technology for sub-octave signal preprocessing, enhancing stability and reducing distortions.

    Main Methods:

    • Development of a PTS system employing a phase modulator (PM) instead of a Mach-Zehnder modulator (MZM).
    • Establishment of an exact analytical model and derivation of compact expressions to characterize system components.
    • Numerical and experimental validation of the PM-based PTS system's performance.

    Main Results:

    • The PM-based PTS system operates within a sub-octave bandwidth, free from second-order spurious signals.
    • Elimination of bias drift and associated nonlinear distortions due to the inherent nature of PM.
    • Demonstration of higher stability and a simplified structure compared to coherent detection-based PTS systems.
    • A dual-channel PTS design using PM and push-pull MZM was proposed for multi-octave bandwidth extension.

    Conclusions:

    • The proposed phase modulation-based photonic time-stretch system is highly suitable for sub-octave signal preprocessing in analog-to-digital converters.
    • This approach significantly enhances system stability and minimizes nonlinear distortions.
    • The developed analytical model provides a comprehensive understanding of the system's characteristics.