TY - JOUR A1 - Tu, Rui A1 - Wang, Rongjiang A1 - Walter, Thomas R. A1 - Diao, FaQi T1 - Adaptive recognition and correction of baseline shifts from collocated GPS and accelerometer using two phases Kalman filter JF - Advances in space research N2 - 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. KW - GPS KW - Strong-motion KW - Baseline shift KW - Kalman filter KW - Integration Y1 - 2014 U6 - https://doi.org/10.1016/j.asr.2014.07.008 SN - 0273-1177 SN - 1879-1948 VL - 54 IS - 9 SP - 1924 EP - 1932 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Tu, Rui A1 - Wang, Li T1 - Real-time coseismic wave retrieving by integrated Kalman filter with observations of GPS, Glonass and strong-motion sensor JF - Advances in space research N2 - A method of real-time coseismic wave retrieving was proposed based on the tight integration of GPS, Glonass and strong-motion sensor observations, the validation and precision analysis have been made by an experimental data. The series of results have been shown that: by the integrated Kalman filter and multi-sensors, the coseismic waves can be optimally recovered by complement the advantages of each other, especially when the observation conditions are very bad. In additional, the results are not significantly effected by different receiver clock error processes for the integration solution. KW - GPS and Glonass KW - Strong-motion sensor KW - Baseline shift KW - Integrated Kalman filter KW - Real-time earthquake monitoring and early warning Y1 - 2014 U6 - https://doi.org/10.1016/j.asr.2013.10.011 SN - 0273-1177 SN - 1879-1948 VL - 53 IS - 1 SP - 130 EP - 137 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Tu, Rui A1 - Chen, Kejie T1 - Tightly integrated processing of high-rate GPS and accelerometer observations by real-time estimation of transient baseline shifts JF - The journal of navigation N2 - 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. KW - High-rate GPS KW - Accelerometer records KW - Baseline shift KW - Tight integration KW - Precise Point Positioning Y1 - 2014 U6 - https://doi.org/10.1017/S0373463314000150 SN - 0373-4633 SN - 1469-7785 VL - 67 IS - 5 SP - 869 EP - 880 PB - Cambridge Univ. Press CY - New York ER -