Application of M-methods to satellite orbit determination

Xiaogang Pan; Haiyin Zhou; Yuanyuan Jiao; Weinan Jiang

doi:10.1117/12.775299

10 November 2007 Application of M-methods to satellite orbit determination

Xiaogang Pan, Haiyin Zhou, Yuanyuan Jiao, Weinan Jiang

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67956N (2007) https://doi.org/10.1117/12.775299
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

This paper analyses concretely the theory of M-methods, establishes the model of steady Satellite Orbit Determination (SOD) based on M-methods, which can farthest restrain gross errors so as to enhance the precision of SOD , and designs effective iterative algorithm named ameliorative Gauss-Newton method, by researching on the application condition of M-methods and the practical matter encountered in SOD. Finally the paper carries out simulation experiment to prove the validity of strategy put forward above. The results of experiment show that the algorithm can strongly improve the precision of the satellite, and markedly reduce the disadvantageous effect of gross errors. The algorithm can be realized easily in application to engineering.

Citation Download Citation

Xiaogang Pan, Haiyin Zhou, Yuanyuan Jiao, and Weinan Jiang "Application of M-methods to satellite orbit determination", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67956N (10 November 2007); https://doi.org/10.1117/12.775299

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available