Analysis of Kalman Filter Mechanizations for an Idealized Rocket Launch

摘要

A study is performed to estimate various states of a vehicle launched from an idealized spherical, airless, nonrotating earth. A tracking radar measures slant range and elevation of the vehicle and yields an output which is corrupted by additive Gaussian noise. In addition, the vehicle is disturbed by a random specific force during its boost phase. Estimation of the vehicle states is done by two different Kalman Filter mechanizations which are linearized applications of the optimal theory. A Monte Carlo computer simulation is used to compare the performance of the two filter mechanizations. (Author)