A GNSS time series step detection and repair method

Abstract

The invention discloses a GNSS time series step detection and repair method. Aiming at the GNSS time series step problem, the trend invariant characteristics in the continuous time window before and after the occurrence of the time series step is utilized, and the moving window method and the time basis function are used to ensure The coefficient trend item approximation method builds a step detection and repair model, and then uses robust least squares, generalized least squares or other optimal estimation theories for step parameter estimation and variance-covariance estimation, and performs order analysis through statistical hypothesis testing. Significance test of jump parameters and step repair. The invention is applicable to multiple types of GNSS time series detection and restoration under non-equal time intervals or data loss. The step detection and restoration estimation theory is rigorous and easy to program. The detection results have optimal statistical properties and the restoration results have statistical reliability.

Description

technical field [0001] The invention belongs to the fields of surveying and mapping science and technology, GNSS measurement data processing and application, and in particular relates to a GNSS time series step detection and repair method. Background technique [0002] With the development of space geodetic technology, especially the successive launch and networking of the Beidou three-generation navigation satellite system, the Global Navigation Satellite System (GNSS) is widely used in navigation and positioning, deformation monitoring, timing and other fields. However, GNSS clock error time series, carrier phase time series and GNSS station coordinate time series (collectively referred to as GNSS time series) have problems of clock jumps, cycle jumps and steps (collectively called step items) for various reasons, which limits Accuracy and reliability for GNSS applications. [0003] At present, a series of researches have been carried out on the step problem of GNSS time ...

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Problems solved by technology

[0004] In summary, for the GNSS clock error time series, the clock jump detection is generally based on the first-order difference of the time series and the fixed threshold method is used. The first-order difference undoubtedly amplifies the random error and makes it difficult to detect small steps; for GNSS carrier phase observations For small cycle slips, the signal decomposition method or other auxiliary information is generally used to detect the step item, the calculation is more complicated, the real-time performance is poor, and it is not conducive to popularization; the research on the coordinate time series of GNSS stations is rarely aimed at the detection and repair of the step item , even for detection and repair, most of the step items in the GNSS time series are visually determined and manually repaired. This method is inefficient and cannot detect and repair smaller step items

In addition, the existing patented technology focuses on detection and neglects repair, and there is no technical solution for step item detection and repair for the above-mentioned common problems of GNSS time series

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