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Parallel array signal processing technology for spatial phase distortion correction in heterodyne detection.

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    This study introduces a novel method to correct spatial phase distortion in active optical heterodyne detection. The technique effectively improves system sensitivity by mitigating decoherence effects, enhancing applications like radar and laser ranging.

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    Area of Science:

    • Optics and Photonics
    • Signal Processing
    • Computational Science

    Background:

    • Spatial phase distortion in targets causes decoherence, degrading system sensitivity in active optical heterodyne detection.
    • This decoherence limits applications such as synthetic aperture radar and long-range coherent laser detection and ranging.

    Purpose of the Study:

    • To propose a scheme for spatial phase distortion correction using an intelligent optimization algorithm.
    • To establish a correspondence between array signal combinations and system signal-to-noise ratio (SNR).

    Main Methods:

    • Transformed phase adjustment calculation into an array signal combination optimization problem.
    • Conducted experiments using rough target heterodyne images.
    • Employed the parallel genetic algorithm (PGA) for phase adjustment calculations.

    Main Results:

    • Spatial random phase distortion was effectively corrected without requiring prior knowledge.
    • The PGA demonstrated excellent computational performance.
    • The proposed technology showed high efficiency.

    Conclusions:

    • The developed method successfully corrects spatial phase distortion, overcoming a key limitation in active optical heterodyne detection.
    • The efficiency and computational performance of the PGA offer significant potential for active heterodyne detection and optical coherent communication.