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
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[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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