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.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Tu R, Liu J, Lu C, Zhang R, Zhang P, Lu X (2017) Cooperating the BDS, GPS, GLONASS and strong motion observations for real‐time deformation monitoring. Geophys J Inter 209(3):1408–1417
Odolinski R, Teunissen PJG (2016) Single-frequency, dual-GNSS versus dual-frequency, single-GNSS: a low-cost and high-grade receivers GPS-BDS RTK analysis. J Geodesy 90(11):1255–1278
Lou Y, Gong X, Gu S et al (2016) GPS/BDS mixed double differential RTK positioning method and result analysis. J Geodesy Geodyn 36(1):1–5 (in Chinese)
Li G, Dai W, Zeng F (2016) Robust moving average in GPS automatic monitoring data processing applications. J Geodesy Geodyn 36(1):85–88 (in Chinese)
Wu X (2011) Research on Kalman filtering method in dynamic deformation monitoring. Central South University (in Chinese)
Zhao L, Qiu H, Feng Y (2016) Analysis of a robust Kalman filter in loosely coupled GPS/INS navigation system. Measurement 80:138–147
Dong D, Wang M, Chen W et al (2016) Mitigation of multipath effect in GNSS short baseline positioning by the multipath hemispherical map. J Geodesy 90(3):255–262
Zhang J, Zhou DM (2013) Improved moving average filter for GPS disciplined. Acta Electron Sin 41(2):412–416
Yang Y (1994) Principle of equivalent weight—robust least square solution of parameter adjustment model. Surv Mapp Bull 6:33–35+29 (in Chinese)
Awange JL, Paláncz B (2016) Robust estimation. Geospatial algebraic computations. Springer International Publishing
Yang Y (1994) Anomaly influence diagnosis and robust estimation. Surv Mapp Bull 5:34–36 (in Chinese)
Zhang Q (2011) Processing and application of modern surveying data. Surveying and Mapping Press (in Chinese)
Chang BW, Gao L, Fang J et al (2014) High precision weighing improved limiting average filtering method. Sens Technol Based Syst Res 5:649–653 (in Chinese)
Sokhandan N, Curran JT, Broumandan A et al (2016) An advanced GNSS code multipath detection and estimation algorithm. GPS Solutions 20(4):627–640
Huang S (2010) Deformation monitoring data processing. Wuhan University Press (in Chinese)
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-13-0005-9_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0004-2
Online ISBN: 978-981-13-0005-9
eBook Packages: EngineeringEngineering (R0)