Nonlinear Recursive Filter for Boost Trajectories
Michael E. Hough · Journal of Guidance Control and Dynamics · 2001
A nonlinear recursive algorithm is formulated for state vector and covariance estimation of boost trajectories. The thrust acceleration vector of the booster is modeled by a vector-differential equation that includes effects of propellant depletion and attitude motions resulting from gravity-turn maneuvers and other steering maneuvers. This new dynamicsmodel is incorporated in an extended Kalman lter with nine state variables that describe the inertial components of position, velocity, and thrust acceleration. Additional algorithms are described for lter initialization using angle-only measurements from a geostationary sensor and for detection and estimation of the nal staging event using measurement residuals. Tracking accuracy and covariance delity are assessed byMonte Carlo simulation.