GNSS base station crustal movement velocity estimation method in consideration of nonlinear change

Abstract

The invention discloses a GNSS base station crustal movement velocity estimation method in consideration of nonlinear change. In consideration of the influence on the base station velocity estimationby the GNSS base station nonlinear change, a random model and like, the latest resolving strategy is adopted to acquire a GNSS base station coordinate time sequence under an ITRF2014 framework, a timesequence model for performing separation on the nonlinear change of the base station coordinate time sequence is established by combining a real physical correction model, abnormal location gross error and step detection and like methods; and a GNSS base station coordinate time sequence background noise model determination technology based on the singular spectrum analysis method is adopted, andan improved Bayes information minimum criterion noise model estimation method is proposed base on above conditions, a GNSS base station crustal movement velocity field estimation method is provided, thereby providing accurate and reliable velocity field data basis for the crustal movement velocity field estimation.

Description

technical field [0001] The invention belongs to the technical field of global positioning and navigation systems, and relates to a method for estimating the velocity field of crustal motion, in particular to a method for estimating the velocity field of crustal motion at a GNSS reference station in consideration of nonlinear changes, diversity of random models, and robustness of noise model estimation criteria . Background technique [0002] With the establishment of global and regional GNSS continuous tracking stations and the continuous improvement of GNSS data processing strategies, GNSS observation technology has become one of the important observation techniques in the fields of geodesy and geodynamics, and is widely used in high-precision geophysics. in related research. The estimation of the velocity field of crustal movement is one of the main reasons for the physical phenomena related to geodynamics, such as seismic activity, volcanic eruption, and sea and land ele...

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Problems solved by technology

[0003] With the long-term accumulation of GNSS continuous observation data, the improvement of observation accuracy and the in-depth study of error sources, the research on the vertical movement of the earth’s crust has become increasingly in-depth. The research points out that there are obvious annual periodic changes in GNSS observation reference stations, that is, the coordinates of GNSS reference stations The time series contains not only structural signals (such as seismic signals), but also non-structural signals, such as seasonal fluctuations of coordinate sequences caused by changes in surface loads, unmodeled measurement noise, etc. The existence of the above interference factors affects the GNSS datum The reliability of the estimation of the crustal velocity field by inversion of the station coordinate sequence; on the other hand, the stability of the observation pier of the GNSS reference station will also have a certain impact on the reliability of the estimation of the crustal velocity field

[0004] The traditional estimation model of crustal velocity field based on GNSS reference station coordinate sequence ignores the influence of GNSS reference station nonlinear changes, colored noise and other factors on velocity field estimation, resulting in biased estimation of crustal velocity field

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