The filter works by balancing how much it trusts its own model versus how much it trusts new data Step 1: Prediction: Uses the system's physics (e.g., ) to guess where the state will be in the next moment Step 2: Correction (Update):
K = P_pred * H' * inv(H * P_pred * H' + R) kalman filter for beginners with matlab examples download