Satellite’s Relative Orbital States Estimation via Kalman Filters under Uncertain Measurement Noise Conditions

The growing number of satellites orbiting the Earth has necessitated sophisticated methods for monitoring and controlling their relative locations and velocities. Precise assessment of a satellite's relative orbital states is essential for a variety of uses, such as satellite formation flying, collision avoidance, and rendezvous operations. In this study, a Pseudo-ranging method was employed to determine the orbital positions of the satellites. Satellite orbital state estimates were made separately using the Multiple Scaling Kalman Filter and the Linear Kalman Filter. Then, relative inter-satellite state estimations were made by adding uncertainty disturbances, and the results of the methods were compared.