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GNSS imaging method based on inter-station correlation spatial structure function construction

A technology of spatial structure and imaging method, applied in the direction of instruments, measuring devices, computing, etc., to achieve the effect of improving cognition, high temporal resolution and reliability, and overcoming the insufficiency of temporal resolution

Active Publication Date: 2019-04-05
WUHAN UNIV
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Problems solved by technology

[0003] Using these dense GNSS monitoring networks, it is possible to reasonably use GNSS time series to determine station velocity and its uncertainty, so as to image crustal deformation; however, using GNSS imaging technology, the bottleneck problems encountered include how to construct spatial structure function

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Embodiment Construction

[0026] In order to make the purpose, technical solutions and beneficial effects of the present invention more clear, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0027] see figure 1 , the GNSS imaging method constructed based on the inter-station correlation spatial structure function provided by the embodiment of the present invention comprises steps:

[0028] Step 1, input the GNSS station coordinate time series observations, and the velocity v of each GNSS station n and its uncertainty σ n (n=1, 2, ..., N); Wherein, N is the total number of GNSS measuring stations in the whole GNSS network, and n is the label of the GNSS measuring stations in the whole GNSS network;

[0029] Step 2, combining the geology and geodesy results of the study area (such as geological fault location information, active block division model based on long-term GPS observations, etc.), cluster and divide the stations in the G...

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Abstract

The invention provides a GNSS imaging method based on inter-station correlation spatial structure function construction. The method comprises the steps that coordinate time sequence observation valuesof GNSS observation stations and the velocity and velocity uncertainty of each GNSS observation station are input; in combination with geologic and geodetic results of a research region, clustering is performed on the observation stations in a GNSS network to obtain cluster regions; the correlation coefficient of an observation station pair formed by two arbitrary observation stations in each cluster region is calculated, data pool division is performed according to the correlation coefficients of the observation stations, and a plurality of data pools in each cluster region and the GNSS observation station pairs in each data pool are acquired; in each cluster region, the mid-value and absolute median deviation of the correlation coefficients of all the observation station pairs in each data pool are calculated, a spatial structure function of each cluster region is constructed, and a final spatial structure function of the whole GNSS network is formed according to a standard; and according to the velocity uncertainty and the spatial structure function, the weights of all the observation stations within the research range are determined, a spatial interpolation method is utilizedto perform spatial interpolation, and then an image is formed.

Description

technical field [0001] The invention belongs to the technical field of precise processing of GNSS data, and relates to a GNSS imaging method for constructing a spatial structure function based on time series of GNSS multi-stations. Background technique [0002] In recent years, the GPS / GNSS monitoring network has been put into operation, and the coverage has been greatly expanded, and the number of stations is increasing day by day, including the Chinese crustal movement observation network and the Chinese mainland tectonic environment monitoring network, the PBO network in the United States, and the EPN in Europe. , Japan's GEONET and other networks have produced a large amount of observation data that grows exponentially. [0003] Using these dense GNSS monitoring networks, it is possible to reasonably use GNSS time series to determine station velocity and its uncertainty, so as to image crustal deformation; however, using GNSS imaging technology, the bottleneck problems e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S19/38G06K9/62
CPCG01S19/38G06F18/23213
Inventor 周晓慧姜卫平杨艺林范文蓝刘洋
Owner WUHAN UNIV
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