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Solar radiation pressure models for BeiDou-3 I2-S satellite: Comparison and augmentation

Lookup NU author(s): Dr Jing Guo



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


As one of the most essential modeling aspects for precise orbit determination, solar radiation pressure (SRP) is the largest non-gravitational force acting on a navigation satellite. This study focuses on SRP modeling of the BeiDou-3 experimental satellite I2-S (PRN C32), for which an obvious modeling deficiency that is related to SRP was formerly identified. The satellite laser ranging (SLR) validation demonstrated that the orbit of BeiDou-3 I2-S determined with empirical 5-parameter Extended CODE (Center for Orbit Determination in Europe) Orbit Model (ECOM1) has the sun elongation angle (# angle) dependent systematic error, as well as a bias of approximately -16.9 cm. Similar performance has been identified for European Galileo and Japanese QZSS Michibiki satellite as well, and can be reduced with the extended ECOM model (ECOM2), or by using the a priori SRP model to augment ECOM1. In this study, the performances of the widely used SRP models for GNSS (Global Navigation Satellite System) satellites, i.e., ECOM1, ECOM2, and adjustable box-wing model have been compared and analyzed for BeiDou-3 I2-S satellite. In addition, the a priori SRP models are derived based on analytical cuboid box model and empirically spectra analysis, respectively. Use of the a priori model combined with ECOM1 was finally demonstrated to reduce the ε-angle-dependent systematic error, and thus improved the radial orbit accuracy by nearly 35 per cent when compared to the solution with standalone ECOM1, as revealed by the one way SLR residuals.

Publication metadata

Author(s): Wang C, Guo J, Zhao Q, Liu J

Publication type: Article

Publication status: Published

Journal: Remote Sensing

Year: 2018

Volume: 10

Issue: 1

Online publication date: 16/01/2018

Acceptance date: 15/01/2018

Date deposited: 30/01/2018

ISSN (electronic): 2072-4292

Publisher: MDPI AG


DOI: 10.3390/rs10010118


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