Real-time carrier observation quality control algorithm for precision orbit determination of LEO satellites

被引:0
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作者
Gongwei Xiao
Genyou Liu
Jikun Ou
Chongchong Zhou
Zaimin He
Runjing Chen
Aizhi Guo
Zhouming Yang
机构
[1] Xi’an University of Posts and Telecommunications,School of Communications and Information Engineering and School of Artificial Intelligence
[2] Chinese Academy of Sciences,State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology
[3] Xiamen University of Technology,School of Computer and Information Engineering
来源
GPS Solutions | 2022年 / 26卷
关键词
Real-time precise orbit determination (RTPOD); QCCLK; LEO satellites; GRACE Follow-on (GRACE-FO); State-space representation (SSR);
D O I
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学科分类号
摘要
Low earth orbit satellites (LEOs) play an important role in communications, Earth observation and other applications. The real-time precise orbit determination (RTPOD) of LEOs plays an important role. However, the quality of carrier observations must be strictly controlled for the RTPOD of LEO satellites. Nevertheless, the ionospheric residual (IR) calculated from dual-frequency carrier observations at low sampling rates varies greatly due to the high speed of LEO satellites, and adopting the existing quality control method constrains the RTPOD performance in the highly dynamic environment. We present a new quality control for the receiver clock offset (QCCLK) algorithm, which combines LEO satellites' dynamic models with GNSS observations to detect carrier observation anomalies. Based on the QCCLK algorithm, real-time multi-GNSS automatic precise orbit determination (RTMG-APOD) software is designed. For comparison, we study the IR distribution at different sampling rates, revealing that the IR algorithm is not suitable for the quality control of LEO observations. RTMG-APOD software is used to analyze the RTPOD performance of the GFZ multi-GNSS final product (GBM), CNES real-time product (CNT) and IGS real-time service (RTS) product on GRACE Follow-On Level-1A observations. The RTPOD experiment results demonstrate that the 3D RMS of the GBM product is approximately 8 cm, and that of the CNT and RTS products is approximately 10 cm. Finally, an RTPOD experiment with one month of observations at different sampling rates using the GBM product and CNT real-time ephemeris verifies the stability of the QCCLK algorithm and its applicability to devices with low sampling rates.
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