GNSS / INS full navigation state autonomous integrity monitoring method and system
By using an extended Kalman filter framework in the GNSS/INS integrated navigation system for fault detection and protection level calculation, the problem of insufficient full navigation status monitoring in the prior art is solved, and real-time autonomous integrity monitoring of position, velocity and attitude is realized, thereby improving the reliability and safety of the assessment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN UNIV
- Filing Date
- 2026-04-28
- Publication Date
- 2026-06-19
AI Technical Summary
Existing technologies in GNSS/INS integrated navigation systems struggle to effectively monitor the integrity of the entire navigation status, including position, velocity, and attitude. In particular, the lack of effective assessment methods in complex scenarios leads to risks in safety-critical applications.
Under the GNSS/INS loosely combined extended Kalman filter framework, fault detection and elimination are performed by acquiring the innovation vector and its statistical characteristics, the protection level in the error state space is calculated, the protection level matrix is constructed and spatial transformation is performed, so as to realize full navigation status monitoring and alarm for position, velocity and attitude.
It enables quantitative assessment and real-time alarm of the full navigation status of GNSS/INS integrated navigation system, including position, velocity, and attitude, improving the assessment reliability and error characterization capability in complex scenarios and ensuring the reliability of safety-critical applications.
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Figure CN122239093A_ABST