Image Information Based Guidance System Architecture for Intercepting a Maneuvring Target

A guidance system architecture for intercepting a manoeuvring target using a monocular imaging seeker is discussed in this paper. The relative interceptor-target kinematics based on the image information is established. A tracking differentiator (TD) based maneuvering target acceleration model is presented. The relative kinematic states can be obtained by combining this model with the extended Kalman filter, as the maneuvering mode of the target is unknown. In view of the maneuvring acceleration of the target can be treated as a time-varying and bounded perturbation, an adaptive guidance law is derived that guarantees the LOS rate to be global ultimate bounded in the presence of measurement noise during the terminal course. Simulation results show that the proposed guidance system architecture is effective and robust to the target maneuver.