Enhancement of Guidance System using Kalman Filter
AbstractThe operation of Modern Guidance System may be separated into two
1. Filtering of the noisy measurements obtained from the sensors and 2. Utilization of
the estimated parameters to control the required acceleration.
Guidance system is enhanced by using 3rd order Kalman filter to estimate the
separation distance and its derivatives that needed in optimal controller. Slant range
and closing velocity is estimated using 2nd order Kalman filter and they also needed in
estimation of time to go.
The optimal guidance system is better than the proportional navigation, biased
proportional navigation, and the augmented proportional navigation system since it
required simple achieved acceleration.
Fading memory filter may be used to enhance the navigation system instead
of Kalman filter. It is simple in structure and need minimum time but less accuracy
than the Kalman filter.
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