Dynamic self-calibration of time grating sensors based on self-adaptive Kalman filter algorithm

Ziran Chen

doi:10.1117/12.2035884

10 October 2013 Dynamic self-calibration of time grating sensors based on self-adaptive Kalman filter algorithm

Ziran Chen

Proceedings Volume 8916, Sixth International Symposium on Precision Mechanical Measurements; 89163I (2013) https://doi.org/10.1117/12.2035884
Event: Sixth International Symposium on Precision Mechanical Measurements, 2013, Guiyang, China

Abstract

As regarding the errors caused by mechanical installation and signal processing, a novel self-adaptive kalman filter algorithm is proposed. According to kalman filter recursion formula, the current value can be estimated with the last estimated value and the current measured value. Therefore, the kalman filter algorithm does not need recorder the past series of the estimated value and the current measured value, the calculated load is not too heavy to implement. The respond speed and the quality of time grating can be improved significantly. Experiment results prove the valid of the proposed method.

Citation Download Citation

Ziran Chen "Dynamic self-calibration of time grating sensors based on self-adaptive Kalman filter algorithm", Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 89163I (10 October 2013); https://doi.org/10.1117/12.2035884

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