Research on Precise Positioning Technology for Remote Sensing Platform

Precise positioning technology for remote sensing platform is researched in this paper, which is based on strapdown inertial navigation system (SINS), global positioning system (GPS) and celestial navigation system (CNS). Firstly, position and velocity outputs of SINS and GPS are taken to construct measurements of SINS/GPS integrated positioning, and SINS/GPS Kalman filtering algorithm is deduced and designed. At the same time, attitude outputs of SINS and CNS are taken to construct measurements of SINS/CNS integrated positioning, and SINS/CNS Kalman filtering algorithm is also deduced and designed. Then the SINS/GPS/CNS federated Kalman filter frame is designed, and local estimations of system states from SINS/GPS and SINS/CNS local filters are sent to the master filter independently. Consequently global optimal estimations of system states are given in the master filter by global optimal fusion algorithm. Simulation results show that, position accuracy of this precise positioning technology reaches plusmn2.8 m, attitude accuracy reaches plusmn0.32´, and velocity accuracy reaches plusmn0.06 m/s.