Physics-Constrained Neural Covariance Estimation for High-Dynamic SINS/GNSS Integrated Navigation
The accuracy and consistency of error-state Kalman filtering for SINS/GNSS integrated navigation depend critically on properly tuned process and measurement noise covariance matrices. In dynamic operation, these covariances can be non-stationary: inertial uncertainty changes with maneuver intensity, vibration, and sens...