Real-time carrier observation quality control algorithm for precision orbit determination of LEO satellites
Real-time carrier observation quality control algorithm for precision orbit determination of LEO satellites
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DOI：
10.1007/s10291-022-01286-4
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发表时间：
2022-07
期刊：
影响因子：
4.9
通讯作者：
Gongwei Xiao;Genyou Liu;J. Ou;Chongchong Zhou;Zaimin He;Runjing Chen;Aizhi Guo;Zhouming Yang
中科院分区：
文献类型：
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作者：
Gongwei Xiao;Genyou Liu;J. Ou;Chongchong Zhou;Zaimin He;Runjing Chen;Aizhi Guo;Zhouming Yang
低轨卫星在通信、地球观测等领域发挥着重要作用。低轨卫星的实时精密定轨（RTPOD）具有重要的意义。然而，对于低轨卫星的实时定位，必须严格控制载波观测的质量。然而，由于低轨卫星的高速运行，在低采样率下双频载波观测值计算的电离层残差（IR）变化很大，采用现有的质量控制方法限制了RTPOD在高动态环境下的性能。本文提出了一种新的接收机时钟偏差质量控制算法（QCCLK），该算法将低轨卫星的动态模型与GNSS观测值相结合，检测载波观测值异常。基于QCCLK算法，设计了实时多GNSS自动精密定轨（RTMG-APOD）软件。为了比较，我们研究了不同采样率下的IR分布，揭示了IR算法不适合于LEO观测的质量控制。利用RTMG-APOD软件分析了GFZ多GNSS最终产品（GBM）、CNES实时产品（CNT）和IGS实时服务（RTS）产品在GRACE后续1A级观测上的RTPOD性能。RTPOD实验结果表明，GBM产品的3D RMS约为8 cm，CNT和RTS产品的3D RMS约为10 cm。最后，利用GBM产品和CNT实时星历进行了不同采样率下一个月的RTPOD实验，验证了QCCLK算法的稳定性及其对低采样率设备的适用性。
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.