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Approach for recognizing and tracking beacon in inter-satellite optical communication based on optical flow method.

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    This study introduces a new optical flow vector algorithm to accurately locate beacons in inter-satellite laser communication, outperforming traditional methods in noisy conditions. This enhances the reliability of optical communication links between satellites and ground stations.

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    Area of Science:

    • Optical Communication Systems
    • Satellite Technology
    • Signal Processing

    Background:

    • Accurate beacon positioning is critical for stable laser communication links between satellites.
    • Background noise, like stellar light, significantly impacts beacon acquisition and tracking in inter-satellite optical communication.

    Purpose of the Study:

    • To investigate the impact of background noise on beacon recognition in inter-satellite optical communication.
    • To propose and validate a novel beacon recognition algorithm using optical flow vectors.

    Main Methods:

    • Developed a new beacon recognition algorithm based on optical flow vectors derived from image data.
    • Conducted simulation analysis and experimental validation to assess the algorithm's performance.
    • Compared the new algorithm against the conventional gray centroid algorithm.

    Main Results:

    • The proposed algorithm accurately determined the beacon's centroid position even with significant background light.
    • The optical flow vector algorithm demonstrated higher locating accuracy compared to the gray centroid algorithm.
    • The method showed improved identification probability of the light spot amidst background noise.

    Conclusions:

    • The novel optical flow vector algorithm effectively overcomes background noise challenges in inter-satellite optical communication.
    • This approach offers enhanced locating accuracy and reliability for beacon tracking.
    • The algorithm is beneficial for designing robust satellite-to-ground optical communication systems.