Global navigation satellite system (GNSS) position time series periodic characteristic mining method

Abstract

The present invention discloses a GNSS position time series periodic characteristic mining method, and provides an accurate GNSS position time series periodic signal analysis and characteristic analysis method by considering the limitation of a conventional harmonic function, and introducing the methods, such as the wavelet analysis and FAMOUS time-frequency analysis methods, a maximum likelihood estimation method, etc. The method is characterized by decomposing an original time series into new time series of different frequency bands according to the different inherent frequencies of the different signals in the original series, and decomposing and reconstructing the signals, processing each layer, thereby obtaining a needed part. The method of the present invention overcomes the limitation of a conventional GNSS time series model, facilitates reflecting the periodical change of a coordinate series really, enables the precision and the reliability of the GNSS topocentric coordinates to be improved further, obtains the high-precision position and speed parameters, and provides the bases for knowing the influence mechanisms and the change rules of the relevant geophysical phenomena deeply.

Description

technical field [0001] The invention belongs to the technical field of continuous operation global positioning and navigation systems, and relates to a mining method for periodic characteristics of GNSS position time series. Background technique [0002] Recent studies have shown that GNSS coordinate time series exhibit obvious periodic changes (Dong et al., 2002; Van Dam et al., 2010, 2012; Jiang et al., 2013). [0003] The traditional GNSS coordinate sequence model considers that the GNSS coordinate sequence only includes annual and half-annual items, ignoring other periodic changes, and may even make wrong interpretations of some geophysical phenomena. How to accurately and efficiently identify the periodic characteristics of GNSS coordinate sequences is one of the key issues in GNSS coordinate time series. [0004] At present, there are some deficiencies in mining the periodic characteristics of GNSS position time series: 1) What is the periodic physical origin and what...

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Problems solved by technology

[0004] At present, there are some deficiencies in mining the periodic characteristics of GNSS position time series: 1) What is the periodic physical origin and what periodic signals are included in the GNSS coordinate sequence, there is a lack of in-depth research; Based on the harmonic function, it is estimated by the least squares method, which has certain limitations; 3) Most studies have not conducted in-depth analysis of the periodic characteristics of the coordinate sequence, and only determine the period (main frequency) of the new periodic signal obtained, without Discuss its physical properties, influencing factors, and origins

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