Abstract: A real-time adaptive “current” statistical method based on three-way measurement was proposed to solve the problem of real-time orbit determination in the process of lunar surface ascending and descending.First,an adaptive current statistical model was used to describe the landing and sampling return process of the lunar process.Second,the method made full use of the measured data which include three-way measurement to update the estimated trajectory.And at last,unscented Kalman filter(UKF) method was used to complete real-time orbit determination.As the adaptive“current”statistical model is very suitable for the complicated trajectory,which includes landing and sampling return,it can solve the orbit determination problem effectively.By processing the measured data of CE-5 lunar process,it shows that this method is more stable and convergent than the traditional method,and has certain application value to deep space target detection.

Key words: ascending and descending, adaptive“current”statistics, three-way measurement, CE-5, orbit detemination