一种三维实际导航性能自适应评估方法及系统
By constructing a filtering model and using variational Bayesian methods for iterative approximation, combined with a three-dimensional ellipsoidal position uncertainty model, an adaptive evaluation of the navigation performance of civil aircraft was achieved. This solves the problems of missing and inaccurate evaluation dimensions in existing technologies, and improves the accuracy and safety of navigation performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
- Filing Date
- 2023-11-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing three-dimensional actual navigation performance evaluation methods suffer from missing and inaccurate evaluation dimensions, leading to inaccurate estimations of navigation performance for civil aircraft.
An adaptive evaluation method for actual navigation performance in three dimensions is adopted. By periodically collecting the output information of the airborne inertial navigation system (IMU) and the multi-mode receiver (GNSS) of civil aircraft, a filtering model is constructed. The variational Bayesian method is used for iterative approximation to obtain the measurement noise covariance matrix and the state estimation covariance matrix. The actual navigation performance of the aircraft is calculated by combining the three-dimensional ellipsoidal position uncertainty model.
It improves the estimation accuracy of the actual navigation performance of civil aircraft, solves the shortcomings of traditional model evaluation, and enhances the accuracy and safety of navigation systems.
Smart Images
Figure CN117606512B_ABST