Modeling and Analysis of Plant Noise in Autonomous Orbit Determination Algorithm

Autonomous orbit determination algorithm is one of the key technologies in autonomous navigation technology. The plant noise in the satellite orbit equation is not white noise. The accuracy of the model will affect the results of autonomous orbit determination. In this paper, autonomous navigation method based on inter-satellite ranges is analyzed, the observation equation based on two-way inter-satellite pseudo-range measurements and the plant equation affected by perturbation are derived. First order Markov process model and Sage Adaptive Filter method are taken for modeling the plant noise. Simulation results show that: Compare to the first order Markov process model, the Sage Adaptive Filter method can improve the precision of orbit determination better, but the Sage Adaptive Filter method is limited by its instability in orbit determination.