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    A new Kalman filter-based method accurately detects and corrects weak frequency jumps in rubidium atomic frequency standards, crucial for maintaining navigational satellite system integrity.

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    Area of Science:

    • Atomic Physics
    • Navigation Systems Engineering
    • Signal Processing

    Background:

    • Frequency jumps in rubidium atomic frequency standards are common and impact navigational satellite system accuracy.
    • Immediate detection and correction of these jumps are vital for maintaining navigation system integrity.

    Purpose of the Study:

    • To propose a novel weak frequency jump detector for rubidium atomic frequency standards.
    • To enable fast and accurate detection and correction of both sudden and slow frequency transitions.

    Main Methods:

    • A Kalman filter with a multi-interval approach is employed to reduce clock data noise and estimate jump size with reduced latency.
    • Analysis of in-orbit rubidium atomic frequency standard (RAFS) phase telemetry data was performed.
    • A multialgorithm-based strategy is proposed for onboard navigation satellites.

    Main Results:

    • The proposed detector effectively achieves fast detection and correction of weak frequency jumps.
    • The Kalman filter enhances the accuracy of jump size estimation and reduces detection latency.
    • Performance comparison with existing techniques demonstrates the proposed detector's advantages.

    Conclusions:

    • The novel weak frequency jump detector offers a robust solution for improving the integrity of navigational satellite systems.
    • The multialgorithm strategy optimizes detection based on jump characteristics for onboard applications.
    • This research contributes to more reliable positioning in satellite navigation.