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Distributed H∞-Consensus Filtering for Attitude Tracking Using Ground-Based Radars.

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    Summary
    This summary is machine-generated.

    This study addresses distributed H∞-consensus filtering for satellite attitude tracking in radar networks. The developed algorithm ensures accurate attitude estimation despite network topology changes and data loss.

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    Area of Science:

    • Control Systems Engineering
    • Aerospace Engineering
    • Networked Systems

    Background:

    • Satellite attitude estimation is crucial for mission success.
    • Ground-based radar systems face challenges in directly measuring satellite attitude.
    • Distributed sensor networks introduce complexities like switching topologies and data packet dropouts.

    Purpose of the Study:

    • To develop a distributed H∞-consensus filtering algorithm for satellite attitude tracking.
    • To address the challenges of switching network topology and random packet dropouts in radar filter networks.
    • To ensure robust and accurate estimation of satellite attitude and attitude-rate.

    Main Methods:

    • A novel distributed H∞-consensus filtering algorithm was designed.
    • The algorithm incorporates models for switching network topology and random packet dropouts.
    • Consensus control theory and H∞ filtering techniques were employed.

    Main Results:

    • The proposed algorithm guarantees H∞-consensus attenuation performance for estimation deviations.
    • The filtering algorithm demonstrates robustness against switching topologies and packet dropouts.
    • Illustrative examples validated the effectiveness of the distributed H∞-consensus filtering approach.

    Conclusions:

    • The developed distributed H∞-consensus filtering algorithm effectively estimates satellite attitude and attitude-rate.
    • The algorithm provides robust performance in networked radar systems with dynamic topology and data loss.
    • This work contributes to enhanced satellite attitude determination in challenging network conditions.