Data-modeling-enabled guidance, navigation, and control to enhance the lethality of interceptors against maneuvering targets
Holger M. Jaenisch, James Handley, Jeffrey P. Faucheux, Kenneth Lamkin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
GNC algorithms are evolved from linear optimal control theory. This approach accommodates simple target maneuvers; however, these approaches lack robustness when advanced threats with intelligent target maneuvers are encountered. Kalman filters (KF) and Extended Kalman filters (EKF) require a priori defined models or equations of motion for objects being observed. Data Modeling autonomously assesses physical characteristics of a tracked object from only its measured motion. Estimates of object's mass, equivalent area, and probable control feedback loop parameters are obtained. These equations become state and process models for Kalman filters.