Method of combined satellite orbit determination by space-ground-based measurement data fusion based on sparse parameters

Haiyin Zhou; Donghui Li; Xiaogang Pan

doi:10.1117/12.658511

4 January 2006 Method of combined satellite orbit determination by space-ground-based measurement data fusion based on sparse parameters

Haiyin Zhou, Donghui Li, Xiaogang Pan

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Proceedings Volume 5985, International Conference on Space Information Technology; 598550 (2006) https://doi.org/10.1117/12.658511
Event: International Conference on Space information Technology, 2005, Wuhan, China

Abstract

This paper investigates the method of a user satellite and two observation satellites combined orbit determination. Based on the analysis of abundant practical measurement data and the lower-order dynamics model of user satellite and observation satellite, this paper establishes a sparse parameter expressing model of the user and the observation satellite orbit perturbation through the basis function. The paper then establishes an integrative parameters model, which employs the space-ground-based measurement data fusion to determine the user and observation combined satellite orbit. The corresponding parameters estimation method and algorithm are also designed. Finally, the paper employs the bias and covariance of the nonlinear model parameters estimation to amend the results of the user and observation satellite orbit determination. Simulations show that the algorithm can strongly improve the precision of the user and the observation satellite orbit determination, markedly reduce the complexity of computation and amount of calculation, and at the same time increase the stabilization and reliability of the orbit determination algorithm.

Citation Download Citation

Haiyin Zhou, Donghui Li, and Xiaogang Pan "Method of combined satellite orbit determination by space-ground-based measurement data fusion based on sparse parameters", Proc. SPIE 5985, International Conference on Space Information Technology, 598550 (4 January 2006); https://doi.org/10.1117/12.658511

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KEYWORDS

Satellites

Earth observing sensors

Data modeling

Data fusion

Error analysis

Reliability

Atmospheric modeling

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