INS aided High Dynamic Single-Satellite Position Algorithm

Because the Global Navigation Satellite System (GNSS) is easily disturbed and easily destroyed, the single-satellite positioning system can be rapidly deployed and provide a long-term space-based passive positioning service under the condition of GNSS rejection. In order to improve the dynamic positioning accuracy of single-satellite navigation in emergency situations, this paper proposes an inertial navigation system (INS)-assisted dynamic single-satellite positioning algorithm. The algorithm combines the dynamic target acceleration measured by the INS and the pseudo-range between the satellite and the target. Using the unscented Kalman filter (UKF) for fusion filtering to solve the position information of the target, which can effectively improve the positioning accuracy of the single-satellite system for the dynamic target. Under the same comprehensive error simulation condition, compared with the single-satellite positioning systems using least squares iteration method and extended Kalman filter (EKF), the positioning error of the algorithm is reduced by 99% and 80% respectively. Effective space-based location service can be provided for dynamic targets in the condition of GNSS system rejection.