A Two-step Method for Precise Detection of Satellite Clock's Abnormal Data

LÜ Hongchun; LU Xiaochun; WU Jianfeng

doi:10.13203/j.whugis20170076

Volume 44 Issue 2

Feb. 2019

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Geomatics and Information Science of Wuhan University > 2019 > 44(2): 193-199. > DOI: 10.13203/j.whugis20170076

LÜ Hongchun, LU Xiaochun, WU Jianfeng. A Two-step Method for Precise Detection of Satellite Clock's Abnormal Data[J]. Geomatics and Information Science of Wuhan University, 2019, 44(2): 193-199. DOI: 10.13203/j.whugis20170076

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A Two-step Method for Precise Detection of Satellite Clock's Abnormal Data

LÜ Hongchun^{1, 2, 3,},
LU Xiaochun^{1, 3, 4},
WU Jianfeng^{1, 3, 5}

1.
National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China
2.
School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
3.
Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences, Xi'an 710600, China
4.
School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 101408, China
5.
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China

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West Light Foundation of the Chinese Academy of Sciences 2013YB06

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Author Bio:
LÜ Hongchun, PhD, specializes in the theories and methods of satellite navigation and time synchronization. E-mail: lvhongchun123@163.com
Received Date: September 28, 2017
Published Date: February 04, 2019

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Abstract

Abstract

To detect clock jump and gross error in data of satellite clock, a two-step method for error detection of satellite clock data is proposed by combining the single difference algorithm of epochs and quasi-accurate cetection method (QUAD). In the first step, a single difference algorithm of epochs is used to detect suspected clock jump and eliminate the gross error points according to the different performance characteristic of clock jump and gross error in the sequence of single difference of epochs; and in the second step, QUAD is used to detect gross error precisely for the data by segment according to the suspected clock jump. The detecting process is set forth and the performance is analyzed by using simulating data, and the algorithm is verified by practical data, both examples show that using only single difference algorithm of epochs can effectively detect suspected clock jump points and partial error, while using the two-step method can effectively avoid clock jump influence, and can accurately detect small gross errors, which is close to two times the background noise's standard deviation.
- clock jump,
- gross error,
- single difference algorithm of epochs,
- QUAD,
- two-step

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