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Dynamic displacement estimation by fusing biased high-sampling rate acceleration and low-sampling rate displacement measurements using two-stage Kalman estimator
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  • Journal title : Smart Structures and Systems
  • Volume 17, Issue 4,  2016, pp.647-667
  • Publisher : Techno-Press
  • DOI : 10.12989/sss.2016.17.4.647
 Title & Authors
Dynamic displacement estimation by fusing biased high-sampling rate acceleration and low-sampling rate displacement measurements using two-stage Kalman estimator
Kim, Kiyoung; Choi, Jaemook; Koo, Gunhee; Sohn, Hoon;
In this paper, dynamic displacement is estimated with high accuracy by blending high-sampling rate acceleration data with low-sampling rate displacement measurement using a two-stage Kalman estimator. In Stage 1, the two-stage Kalman estimator first approximates dynamic displacement. Then, the estimator in Stage 2 estimates a bias with high accuracy and refines the displacement estimate from Stage 1. In the previous Kalman filter based displacement techniques, the estimation accuracy can deteriorate due to (1) the discontinuities produced when the estimate is adjusted by displacement measurement and (2) slow convergence at the beginning of estimation. To resolve these drawbacks, the previous techniques adopt smoothing techniques, which involve additional future measurements in the estimation. However, the smoothing techniques require more computational time and resources and hamper real-time estimation. The proposed technique addresses the drawbacks of the previous techniques without smoothing. The performance of the proposed technique is verified under various dynamic loading, sampling rate and noise level conditions via a series of numerical simulations and experiments. Its performance is also compared with those of the existing Kalman filter based techniques.
dynamic displacement;two-stage Kalman estimator;multi-rate data fusion;
 Cited by
국산 고정밀 가속도계의 건설 구조물 적용성 평가,권남열;강두영;손훈;

한국전산구조공학회논문집, 2016. vol.29. 3, pp.277-283 crossref(new window)
Application of High-precision Accelerometer Made in Korea to Health Monitoring of Civil Infrastructures, Journal of the Computational Structural Engineering Institute of Korea, 2016, 29, 3, 277  crossref(new windwow)
Development of a High Precision Displacement Measurement System by Fusing a Low Cost RTK-GPS Sensor and a Force Feedback Accelerometer for Infrastructure Monitoring, Sensors, 2017, 17, 12, 2745  crossref(new windwow)
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