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Tightly Integrated Processing of High-Rate GPS and Accelerometer Observations by Real-Time Estimation of Transient Baseline Shifts

Published online by Cambridge University Press:  21 March 2014

Rui Tu*
Affiliation:
(German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam) (University of Potsdam, Am Neuen Palais, 14469 Potsdam, Germany)
Kejie Chen
Affiliation:
(German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam) (University of Potsdam, Am Neuen Palais, 14469 Potsdam, Germany)
*

Abstract

The complementary advantages of high-rate Global Positioning System (GPS) and accelerometer observations for measuring seismic ground motion have been recognised in previous research. Here we propose an approach of tight integration of GPS and accelerometer measurements. The baseline shifts of the accelerometer are introduced as unknown parameters and estimated by a random walk process in the Precise Point Positioning (PPP) solution. To demonstrate the performance of the new strategy, we carried out several experiments using collocated GPS and accelerometer. The experimental results show that the baseline shifts of the accelerometer are automatically corrected, and high precision coseismic information of strong ground motion can be obtained in real-time. Additionally, the convergence and precision of the PPP is improved by the combined solution.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2014 

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References

REFERENCES

Bock, Y., Melgar, D. and Crowell, B.W. (2011). Real-time strong-motion broadband displacements from collocated GPS and accelerometers. Bulletin of the Seismological Society of America, 101, 29042925.Google Scholar
Cui, X., Yu, Z., Tao, B., Liu, D., Yu, Z., Sun, H. and Wang, X. (2001). Generalized Surveying Adjustment. Wuhan University Press.Google Scholar
Elósegui, P., Davis, J.L., Oberlander, D., Baena, R. and Ekström, G. (2006). Accuracy of high-rate GPS for seismology. Geophysical Research Letters, 33, L11308.Google Scholar
Fleming, K., Picozzi, M., Milkereit, C., Kuehnlenz, F., Lichtblau, B., Fischer, J., Zulfikar, C., Ozel, O. and SAFER and EDIM working groups. (2009). The Self-Organising Seismic Early Warning Information System (SOSEWIN). Seismology Research Letters, 80, 755771.Google Scholar
Ge, M., Gendt, G., Rothacher, M., Shi, C. and Liu, J. (2008). Resolution of GPS carrier-phase ambiguities in precise point positioning (PPP) with daily observations. Journal of Geodesy, 82 (7), 389399.Google Scholar
Geng, J., Meng, X., Dodson, A.H., Ge, M. and Teferle, F.N. (2010). Rapid re-convergences to ambiguity-fixed solutions in precise point positioning. Journal of Geodesy, 84, 705714.Google Scholar
Geng, J., Teferle, F.N., Meng, X. and Dodson, A.H. (2011). Towards PPP-RTK: Ambiguity resolution in real-time precise point positioning. Advances in Space Research, 47 (10), 16641673.Google Scholar
Geng, J., Bock, Y., Melgar, D., Crowell, B.W. and Haase, J.S. (2013a). A new seismogeodetic approach applied to GPS and accelerometer observations of the 2011 Brawly seismic swarm: Implications for earthquake early warning. Geochemistry Geophysics Geosystems, 14, 21242142.CrossRefGoogle Scholar
Geng, J., Melgar, D., Bock, Y., Pantoli, E. and Restrepo, J. (2013b). Recovering coseismic point ground tilts from collocated high-rate GPS and accelerometers. Geophysical Research Letters, 40, 50955100.Google Scholar
Iwan, W.D., Moser, M.A. and Peng, C.Y. (1985). Some observations on strong-motion earthquake measurement using a digital accelerograph. Bulletin of the Seismological Society of America, 75, 12251246.Google Scholar
Larson, K.M. (2009). GPS seismology. Journal of Geodesy, 83, 227233.CrossRefGoogle Scholar
Li, X., Ge, M., Zhang, Y., Wang, R., Klotz, J. and Wicket, J. (2013). Tightly integrated processing of high-rate GPS and strong-motion data: Application to earthquake early warning. Geophysical Journal International, 195, 612624.CrossRefGoogle Scholar
Smyth, A. and Wu, M. (2006). Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring. Mechanical Systems and Signal Processing, 21, 706723.Google Scholar
Tu, R., Wang, R., Ge, M., Walter, T. R., Ramatschi, M., Milkereit, C., Bindi, D. and Dahm, T. (2013). Cost effective monitoring of ground motion related to earthquakes, landslides or volcanic activities by joint use of a single-frequency GPS and a MEMS accelerometer. Geophysical Research Letters, 40, 38253829.Google Scholar
Tu., R., Ge, M., Wang, R. and Walter, T.R. (2014). A new algorithm for tight integration of real-time GPS and strong-motion records, demonstrated on simulated, experimental, and real seismic data. Journal of Seismology, 18, 151161.Google Scholar
Tu, R. and Wang, L. (2014). Real-time coseismic wave retrieving by integrated Kalman filter with observations of GPS, Glonass and strong-motion sensor. Advances in Space Research, 53, 130137.Google Scholar
Wang, R., Schurr, B., Milkereit, C., Shao, Z. and Jin, M. (2011). An improved automatic scheme for empirical baseline correction of digital strong-motion records. Bulletin of the Seismological Society of America, 101, 20292044.Google Scholar
Wang, R., Parolai, S., Ge, M., Jin, M., Walter, T.R. and Zschau, J. (2013). The 2011 Mw 9·0 Tohoku earthquake: Comparison of GPS and strong-motion data. Bulletin of the Seismological Society of America, 103, 13361347.Google Scholar
Xu, P., Shi, C., Fang, R., Liu, J., Niu, X., Zhang, Q. and Yanagidani, T. (2012). High-rate precise point positioning (PPP) to measure seismic wave motions: an experimental comparison of GPS PPP with inertial measurements units. Journal of Geodesy, 87, 361372.Google Scholar
Yang, Y., He, H. and Xu, G. (2001). Adaptively robust filtering for kinematic geodetic positioning. Journal of Geodesy, 75, 109116.Google Scholar
Zumberge, J.F., Heflin, M.B., Jefferson, D.C. and Watkins, M. (1997). Precise Point Positioning for the efficient and robust analysis of GPS data from large networks. Journal of Geophysical Research, 102, 50055017.Google Scholar