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A real-time Kalman filter using deep space three-way measurement

Data from three-way measurement is a kind of important observing data for deep space probes. By utilizing this data, this paper presents an algorithm to calculate the real-time position of deep space probes based on UKF (unscented Kalman Filter). The observing model and forecast method using the three-way measurement are given with the implementation method via dynamic modeling and non-dynamic modeling. Then some measured data of Chang'e-3 are used to test and verify the proposed algorithm. The results indicate that the observation and forecast modeling method is correct and feasible, which can be as a reference in deep space probe's positioning and orbit determination.