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Coordinate time series processing method and device

A coordinate time series and preprocessing technology, applied in the direction of measuring devices, satellite radio beacon positioning systems, instruments, etc., can solve the problems of residual colored noise, unable to eliminate colored noise, and unable to accurately obtain noise amplitude estimation, etc., to achieve error The effect of small, accurate estimates of motion parameters

Active Publication Date: 2022-03-11
CHINA RAILWAY SIYUAN SURVEY & DESIGN GRP
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Problems solved by technology

[0003] However, current denoising methods cannot remove the colored noise that exists in low frequencies, and even if the intensity of the noise is weakened, it is still impossible to accurately estimate the noise amplitude, especially the residual colored noise

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  • Coordinate time series processing method and device
  • Coordinate time series processing method and device

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Embodiment Construction

[0050] Related technologies There are mainly the following methods for processing the GNSS station coordinate time series:

[0051] For a single station, some scholars proposed to remove the noise in the GNSS coordinate time series based on wavelet transform. The commonly used method is discrete wavelet transform, which is based on the Mallat algorithm to perform multi-resolution decomposition of GNSS coordinate time series, and then threshold quantizes the obtained high-frequency wavelet transform coefficients, and finally reconstructs the processed wavelet coefficients to obtain Coordinate time series after denoising. However, this method only considers white noise when setting the threshold, and it has a good effect on weakening the high-frequency noise (white noise) in the coordinate time series. , the denoising effect is not ideal.

[0052] Modulus maxima denoising based on wavelet entropy and wavelet transform coefficients. According to the wavelet coefficient of the ...

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Abstract

The invention discloses a coordinate time series processing method and device. The method includes: obtaining three residual sequences corresponding to the coordinate time series in three directions corresponding to the data from a target station; The principal component of the residual sequence; the principal component is divided into a first principal component and a second principal component, the first principal component is used to characterize the first part of white noise, and the second principal component is used to characterize the colored noise and the second part of white noise; delete the second principal component from the principal component, retain the first principal component, and obtain an updated principal component; calculate three new principal components based on the updated principal component residual series. By adopting the scheme of the present invention, the colored noise in the residual sequence can be eliminated, and three new residual sequences can be obtained only through white noise, so that the error represented by the new residual sequence is smaller, and the motion parameters of the GNSS reference station can also be obtained Uncertainty in the exactness of the valuation.

Description

technical field [0001] The invention relates to the field of GNSS data processing, in particular to a coordinate time series processing method and device of a GNSS station. Background technique [0002] GNSS reference station coordinate time series are widely used in geodesy and geodynamic research. Due to various factors including geophysical environment and system errors related to GNSS technology, GNSS station coordinate time series contain white noise and colored noise ( error). Since the noise in the GNSS coordinate time series affects the stability and reliability of the station coordinates and leads to wrong interpretation of some geophysical phenomena, it is necessary to take measures to weaken the noise intensity of the GNSS coordinate time series. [0003] However, the current denoising methods cannot remove the colored noise existing in the low frequency, and even if the intensity of the noise is weakened, it still cannot accurately estimate the noise amplitude, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/39
CPCG01S19/39
Inventor 马俊曹成度腾焕乐闵阳刘善勇
Owner CHINA RAILWAY SIYUAN SURVEY & DESIGN GRP
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