: The filter uses a "motion model" (physics equations) to guess where the system will be next. For example, if a car is at point A moving at 60 mph, it predicts it will be at point B in one minute.
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% Storage x_history = zeros(1,T); meas_history = zeros(1,T); : The filter uses a "motion model" (physics
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| Concept | Meaning | |---------|---------| | | Guess next state using system model | | Update | Correct guess using measurement | | Kalman Gain (K) | Balances trust between model and measurement | | Q matrix | Process noise (model uncertainty) | | R matrix | Measurement noise (sensor uncertainty) |