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Correlation coefficient-based method for weakening CME (common mode error) influence in coordinate time sequence

A technology of coordinate time series and correlation coefficient, which is applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of low accuracy of spatial characteristics and limited filtering effect, and achieve the effect of ensuring the accuracy of spatial response

Active Publication Date: 2014-05-28
WUHAN UNIV
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Problems solved by technology

[0004] At present, the method of weakening the influence of CME in the coordinate time series has two main shortcomings: 1) the filtering effect is limited by the size of the network where the GPS coordinate time series is located (that is, the distance between stations); 2) it can effectively suppress the influence of local effects, but the spatial characteristics Not very accurate

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  • Correlation coefficient-based method for weakening CME (common mode error) influence in coordinate time sequence
  • Correlation coefficient-based method for weakening CME (common mode error) influence in coordinate time sequence
  • Correlation coefficient-based method for weakening CME (common mode error) influence in coordinate time sequence

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[0033] In order to make the objectives, 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 specific implementation methods. It should be understood that the specific embodiments described below are only used to explain the present invention, and are not intended to limit the present invention.

[0034] A method for reducing the influence of CME in coordinate time series based on correlation coefficient, the specific steps are as follows:

[0035] Step 1. Obtain the accumulated GPS station coordinate time series through data analysis.

[0036] This step belongs to the existing technology, specifically, the data can be obtained through the mature high-precision data processing software such as GAMIT / GLOBK, Bernese, and GIPSY in the existing technology or the IGS analysis center.

[0037] Step 2: Obtain the time series of residual coordinates of GP...

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Abstract

The invention provides a correlation coefficient-based method for weakening the CME (common mode error) influence in a coordinate time sequence. The correlation degree of the GPS (global positioning system) measuring interstation coordinate time sequence is represented by adopting correlation coefficients between a reference station and common measuring stations, and the correlation coefficient is used as the weight for calculating the GPS measuring interstation common-mode error. Meanwhile, the GPS measuring interstation negative correlation is not omitted, a positive correlation and a negative correlation are substituted into the CME calculation system at the same time, positive and negative correlation are equally treated as the weight factor for measuring the GPS measuring interstation CME influence. According to the correlation coefficient-based method, the technical problems that the existing method for weakening the CME influence in the coordinate time sequence is limited in interstation distance, low in space accuracy and the like are solved, and the method can process the measuring interstation CME influence of a GPS network being more than 2000km and can ensure the space response accuracy.

Description

technical field [0001] The invention belongs to the field of precision processing of GPS data, and relates to a method for reducing the influence of CME in a time series, in particular to a method for reducing the influence of CME in a coordinate time series based on a correlation coefficient. Background technique [0002] Common mode error (CME) refers to the common error that all stations are subject to spatial correlation within a specific area. The concept of CME was first proposed by Wdowinski in 1997, and it has significant spatial distribution characteristics. However, due to the influence of different spatial factors, the spatial distribution of CME is non-uniform (Nikolaidis, 2002). Therefore, the correlation coefficient of the station residual coordinate time series is usually used as a characterization index of correlation (Marquez-Azua, Demets, 2003; SimonWilliams, 2004). [0003] In the field of spatial correlation error, there are traditional spatial overlay ...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 周晓慧姜卫平潘鹏飞
Owner WUHAN UNIV
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