a software based approach for autonomous projectile attitude and position estimation
This work brings a contribution on projectile attitude and position estimation in a noisy context. Due to strong non linearities and poor observability of the dynamical model, describing the projectile behavior, very few estimation techniques could be applied. The main features lie in the use of an EKF based estimator that use a sliding window of output measurements and assures a strong tracking using magnetometer sensor only. Furthermore, we notice that the proposed approach may be applied to a general class of non linear discrete time systems with few computational requirements. High performances, even in the presence of unknown biases, are shown through simulation results.
sliding window software sensors extended kalman filter control theory