Assessment of Swarm Kinematic Orbit Determination Using Two Different Double-Difference Methods

Author:

Zhang Rui1,Xiong Yongliang1,Xu Shaoguang1ORCID,Chen Weiwei1ORCID,Li Xinzhong1,Zhao Ban1

Affiliation:

1. Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

Abstract

The Swarm mission aims to study the principle and change regularities of the Earth’s magnetic field. Precise orbit determination is essential to the successful implementation of the mission and relevant scientific research. This article focuses on using two different double-difference methods to improve the accuracy of Swarm kinematic orbit determination. The accuracy of the kinematic orbit determination relies entirely on the space-borne observation data, independent of any dynamic parameters. The article analyzes the data quality of the Swarm space-borne global positioning system (GPS) receiver and presents a detailed introduction to the data pre-processing algorithms. The double-difference observation gathering and the applied orbit determination strategy using two different double-difference methods are discussed. The results of the kinematic orbits under different solar cycle conditions are presented, along with an evaluation based on analysis of GPS carrier phase residuals, subtracting from the post-processed orbits, and assessment with satellite laser ranging (SLR) measurements. The results show that the accuracy of the kinematic orbit determination is at the centimeter level for the three Swarm satellites’ orbit solutions. The daily root mean square (RMS) values of the three satellites’ phase residuals remain at around the 6 mm level. The RMS values of the position residuals between the kinematic orbits and the reduced dynamic orbits released by the European Space Agency (ESA) are at about the 2–3 cm level. The external evaluation with SLR measurements shows a good agreement with the ESA level, with the RMS values of the SLR residuals for kinematic orbits around 2 cm.

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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