Application of the fixed-interval smoother to maneuvering trajectory estimation

This correspondence considers the problem of estimating the state variables and maneuvering parameters for a reentry vehicle. The nonlinear filtering results based upon a tuned nine state extended Kalman filter (EKF) are compared with those obtained by a linearized fixed interval smoother, which reprocesses the output of the EKF, using Monte Carlo simulation experiments.