Enhancement of guidance system using kalman filter

Abstract EN

The operation of Modern Guidance System may be separated into two cascaded functions 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.