Enhancement of satellite VLBI tracking system with capability of correlator model parameters prediction

Feng-chun Shu; Yun Yu; Wei-min Zheng; Xiu-zhong Zhang

doi:10.1117/12.855276

2 April 2010 Enhancement of satellite VLBI tracking system with capability of correlator model parameters prediction

Feng-chun Shu, Yun Yu, Wei-min Zheng, Xiu-zhong Zhang

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76512F (2010) https://doi.org/10.1117/12.855276
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

Abstract

Chinese VLBI Network has been successfully applied for the tracking of the earth satellite Tance-1, the lunar satellites Smart-1 and Chang'E-1. However, in the case that the orbit of the satellite has the large predicted errors, the correlator model will not be precise enough that the tracking system can not produce good fringes and VLBI observables. Based on the blind fringe-searching results by taking advantages of satellite telemetry signals, we developed an algorithm to predict correlator model parameters. In the process of model parameters prediction, the model delay polynomials are calculated from the predicted orbit, followed by the comparisons with delays obtained from the blind fringe-searching results. The delayed differences which vary much slower and smaller than the model delay is then used to form the observation equation, and finally the correction of the model parameters are predicted with the least square method. The algorithm has been implemented in the software of correlation sub-system, which worked smoothly and successfully in the real time VLBI tracking of Chang'E-1 satellite.

Citation Download Citation

Feng-chun Shu, Yun Yu, Wei-min Zheng, and Xiu-zhong Zhang "Enhancement of satellite VLBI tracking system with capability of correlator model parameters prediction", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76512F (2 April 2010); https://doi.org/10.1117/12.855276

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