A High Dynamic Positioning Algorithm for Ka Band LEO Satellites in Beam Polling Mode

Aiming at the problem of low precision positioning solutions for high dynamic users caused by Ka band LEO communication and navigation integrated satellites in point beam polling mode, a LEO satellite/inertial integrated navigation and positioning algorithm based on accumulated error estimation and correction is proposed. A extended Kalman filtering estimator is used to achieve the state error estimation at the output of inertial navigation. By the error correction, the rapid growth of nonlinear error is suppressed when low precision inertial sensors is used for integrated navigation, and the positioning accuracy for high dynamic users is improved. The simulation results show that in the condition of low precision inertial navigation the proposed algorithm can significantly improve the dynamic positioning performance. The three dimensional positioning and velocity measurement accuracy of high dynamic users can reach below 10 m (1σ) and 0.1 m/s (1σ) respectively.