Kalman Filter For Beginners With Matlab Examples Download !!install!! Top «Must See»

You have a GPS tracker on the car, but it’s a bit "jittery" and fluctuates.

% State Vector [x; v] -> [Position; Velocity] % We assume the object starts at 0 with 0 velocity. x = [0; 0];

The "weight" is called the . If the measurement is very noisy, the gain is small (trust prediction more). If the prediction is uncertain, the gain is large (trust measurement more).

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You have a GPS tracker on the car, but it’s a bit "jittery" and fluctuates.

% State Vector [x; v] -> [Position; Velocity] % We assume the object starts at 0 with 0 velocity. x = [0; 0];

The "weight" is called the . If the measurement is very noisy, the gain is small (trust prediction more). If the prediction is uncertain, the gain is large (trust measurement more).

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