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http://dx.doi.org/10.11112/jksmi.2015.19.4.043

A Method to Enhance Dynamic Range for Seismic Sensor Using ARMA Modelling of Low Frequency Noise and Kalman Filtering  

Seong, Sang-Man (한국기술교육대학교)
Lee, Byeung-Leul (한국기술교육대학교)
Won, Jang-Ho (한국기술교육대학교)
Publication Information
Journal of the Korea institute for structural maintenance and inspection / v.19, no.4, 2015 , pp. 43-48 More about this Journal
Abstract
In this study, a method to enhance the dynamic range of seismic sensor is proposed. The low frequency noise included in the measurement of seismic sensor is modelled as an ARMA(Auto Regressive Moving Average) model and the order and parameters of the model are identified through system identification method. The identified noise model is augmented into Kalmman filter which estimate seismic signal from sensor measurement. The proposed method is applied to a newly developed seismic sensor which is MEMS based 3-axis accelerometer type. The experiment show that the proposed method can enhance the dynamic range compared to the simple low pass filtering.
Keywords
3-axis accelerometer; ARMA model; Dynamic range; Kalman filter; MEMS; Seismic sensor;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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