37448
2014
2014
eng
1924
1932
9
9
54
article
Elsevier
Oxford
1
--
--
--
Adaptive recognition and correction of baseline shifts from collocated GPS and accelerometer using two phases Kalman filter
The real-time recognition and precise correction of baseline shifts in strong-motion records is a critical issue for GPS and accelerometer combined processing. This paper proposes a method to adaptively recognize and correct baseline shifts in strong-motion records by utilizing GPS measurements using two phases Kalman filter. By defining four kinds of learning statistics and criteria, the time series of estimated baseline shifts can be divided into four time intervals: initialization, static, transient and permanent. During the time interval in which the transient baseline shift is recognized, the dynamic noise of the Kalman filter system and the length of the baseline shifts estimation window are adaptively adjusted to yield a robust integration solution. The validations from an experimental and real datasets show that acceleration baseline shifts can be precisely recognized and corrected, thus, the combined system adaptively adjusted the estimation strategy to get a more robust solution. (C) 2014 COSPAR. Published by Elsevier Ltd. All rights reserved.
Advances in space research
10.1016/j.asr.2014.07.008
0273-1177
1879-1948
wos:2014
WOS:000344204200018
Tu, R (reprint author), German Res Ctr Geosci GFZ, Kaiser Friedrich Str 142, D-14469 Potsdam, Germany., turui-2004@126.com; wang@gfz-potsdam.de; twalter@gfz-potsdam.de; diao@gfz-potsdam.de
China Scholarship Council
Rui Tu
Rongjiang Wang
Thomas R. Walter
FaQi Diao
eng
uncontrolled
GPS
eng
uncontrolled
Strong-motion
eng
uncontrolled
Baseline shift
eng
uncontrolled
Kalman filter
eng
uncontrolled
Integration
Institut für Geowissenschaften
Referiert
38360
2014
2014
eng
151
161
11
1
18
article
Springer
Dordrecht
1
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--
--
A new algorithm for tight integration of real-time GPS and strong-motion records, demonstrated on simulated, experimental, and real seismic data
The complementary advantages of GPS and seismic measurements are well recognized in seismotectonic monitoring studies. Therefore, integrated processing of the two data streams has been proposed recently in an attempt to obtain accurate and reliable information of surface displacements associated with earthquakes. A hitherto still critical issue in the integrated processing is real-time detection and precise estimation of the transient baseline error in the seismic records. Here, we report on a new approach by introducing the seismic acceleration corrected by baseline errors into the state equation system. The correction is performed and regularly updated in short epochs (with increments which may be as short as seconds), so that station position, velocity, and acceleration can be constrained very tightly and baseline error can be estimated as a random-walk process. With the adapted state equation system, our study highlights the use of a new approach developed for integrated processing of GPS and seismic data by means of sequential least-squares adjustment. The efficiency of our approach is demonstrated and validated using simulated, experimental, and real datasets. The latter were collected at collocated GPS and seismic stations around the 4 April 2010, E1 Mayor-Cucapah earthquake (Mw, 7.2). The results have shown that baseline errors of the strong-motion sensors are corrected precisely and high-precision seismic displacements are real-timely obtained by the new approach.
Journal of seismology
10.1007/s10950-013-9408-x
1383-4649
1573-157X
wos:2014
WOS:000328328000011
Tu, R (reprint author), Univ Potsdam, D-14469 Potsdam, Germany., turui-2004@126.com
China Scholarship Council
Rui Tu
Maorong Ge
Rongjiang Wang
Thomas R. Walter
eng
uncontrolled
High-rateGPS
eng
uncontrolled
Strong-motion records
eng
uncontrolled
Baseline error
eng
uncontrolled
Tight integration
eng
uncontrolled
Precise point positioning
Institut für Geowissenschaften
Referiert
Institut für Erd- und Umweltwissenschaften