Nonlinear filtering and smoothing for maneuvering trajectories

This paper considers the problem of estimating the state variables and maneuvering parameters for a re-entry vehicle. The non-linear filtering results based upon a tuned nine state extended Kalman filter (for realtime applications) are compared with those obtained by a linearized fixed interval smoother (for non-realtime applications) using Monte Carlo simulation experiments.