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A Kalman filter is an optimal estimator for linear dynamical systems with Gaussian noise. Extensions to non-linear systems are included through the Extended KF and Unscented KF.
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Are there systematic ways to tune the Kalman filter in engineering practice?
As I understand you are asking for ways to set initial x(the state vector), initial P (the covariance matrix), the process noise covariance matrix Q and the measurement noise covariance matrix R. For …
2
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0
answers
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Position-Attitude Kalman filter with Quaternions
I want to design an EKF to estimate the position of a UAV. If I were doing this with Euler angles then I would have a state vector that would look like
\begin{bmatrix}north&east&down&vel_x&vel_y&vel_ …