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WANG Xu, CHAI Hongzhou, WANG Chang, LI Jinsheng, CHONG Yang. A New Data Preprocessing Method for Beidou Satellite Clock Bias[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200232
Citation: WANG Xu, CHAI Hongzhou, WANG Chang, LI Jinsheng, CHONG Yang. A New Data Preprocessing Method for Beidou Satellite Clock Bias[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200232

A New Data Preprocessing Method for Beidou Satellite Clock Bias

doi: 10.13203/j.whugis20200232
  • Received Date: 2020-05-16
    Available Online: 2021-05-07
  • To find a high accuracy method for SCB prediction based on characteristics of SCB data, a preprocessing strategy (WMAD) of a wavelet threshold method based on the median absolute deviation(MAD) is proposed to preprocess the SCB, aiming at the small error of the middleweight of the SCB data. Firstly, the wavelet threshold method is used to decompose the SCB data to obtain the decomposed high frequency coefficient and low frequency coefficient. Then the MAD method is used to deal with the high frequency coefficient of each layer affecting the threshold setting, and the processed high frequency coefficient is used to calculate the threshold, so as to improve the ability of eliminating small outliers by the wavelet threshold method. Finally, the clock bias data of beidou-2 satellite are used to verify. The results show that this method can effectively eliminate the small error of median magnitude in the historical observation sequence of clock difference and predicting the satellite clock bias.
  • [1] Mosavi M R, Shafiee F. Narrowband interference suppression for GPS navigation using neural networks[J]. GPS solutions, 2016, 20(3):341-351.
    [2] Li X. Comparing the Kalman filter with a Monte Carlo-based artificial neural network in the INS/GPS vector gravimetric system[J]. Journal of Geodesy, 2009, 83(9):797-804.
    [3] Wang Y P, Lu Z P, Qu Y Y, et al. Improving Prediction Performance of GPS Satellite Clock Bias Based on Wavelet Neural Network[J]. GPS Solutions, 2017, 21(2):523-534.
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通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A New Data Preprocessing Method for Beidou Satellite Clock Bias

doi: 10.13203/j.whugis20200232

Abstract: To find a high accuracy method for SCB prediction based on characteristics of SCB data, a preprocessing strategy (WMAD) of a wavelet threshold method based on the median absolute deviation(MAD) is proposed to preprocess the SCB, aiming at the small error of the middleweight of the SCB data. Firstly, the wavelet threshold method is used to decompose the SCB data to obtain the decomposed high frequency coefficient and low frequency coefficient. Then the MAD method is used to deal with the high frequency coefficient of each layer affecting the threshold setting, and the processed high frequency coefficient is used to calculate the threshold, so as to improve the ability of eliminating small outliers by the wavelet threshold method. Finally, the clock bias data of beidou-2 satellite are used to verify. The results show that this method can effectively eliminate the small error of median magnitude in the historical observation sequence of clock difference and predicting the satellite clock bias.

WANG Xu, CHAI Hongzhou, WANG Chang, LI Jinsheng, CHONG Yang. A New Data Preprocessing Method for Beidou Satellite Clock Bias[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200232
Citation: WANG Xu, CHAI Hongzhou, WANG Chang, LI Jinsheng, CHONG Yang. A New Data Preprocessing Method for Beidou Satellite Clock Bias[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200232
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