Abstract
In order to improve the accuracy of slow deformation monitoring sequence, the smoothing filter is usually used. On the basis of weighted moving average method, a robust moving average method is proposed. An adaptive windowing method is developed and combined with ARMA time series analysis to improve the prediction precision of monitoring sequence. The experimental results show that, the robust moving average method can effectively weaken the error of the slow deformation monitoring sequence, and resist gross error efficiently. In addition, it can improve the accuracy and reflect the displacement trend of the slow deformation monitoring sequence more clearly with combination of ARMA method.
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Acknowledgements
The research was supported by National Natural Science Foundation of China (Grant No. 41574013, 41731069) and National Key Research and Development Program of China (2016YFB0501701).
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Ren, L., Xu, TH. (2018). Research on Smoothing Filtering Algorithm of BDS/GPS Slow Deformation Monitoring Sequence. In: Sun, J., Yang, C., Guo, S. (eds) China Satellite Navigation Conference (CSNC) 2018 Proceedings. CSNC 2018. Lecture Notes in Electrical Engineering, vol 497. Springer, Singapore. https://doi.org/10.1007/978-981-13-0005-9_3
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DOI: https://doi.org/10.1007/978-981-13-0005-9_3
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