Kalman Gyroscope Predictor
Predicts next Kalman filter state based on current gyroscope measurement.
Parameters
method to estimate phi matrix relating previous and current filter state.
method to estimate process noise covariance matrix.
method to integrate quaternions on each measurement.
Constructors
Properties
gyroscope noise PSD.
Kalman filter error covariance matrix after prediction.
Kalman filter error covariance matrix before prediction.
Kalman filter state after prediction.
Kalman filter state before prediction.
Contains gyroscope data expressed in NED coordinates respect to body.
Contains predicted attitude respect to body for next step. Because rotation is defined respect to body, rotation converts from body coordinates to leveled local NED coordinates respect to Earth: pn = previousBodyQ * pb
Previous step attitude respect to body. Because rotation is defined respect to body, rotation converts from body coordinates to leveled local NED coordinates respect to Earth: pn = previousBodyQ * pb
Time interval between measurements expressed in seconds (s).