Noise reduction in MEMS Accelerometer by using Kalman Filter
Abstract
A Kalman filter is designed and implemented for a MEMS capacitive accelerometer in order to filter out two major noise sources in the accelerometer, which are electronic noise and thermal mechanical noise (Brown noise). The dynamic modeling of the MEMS accelerometer is developed. A Kalman filter act as observer in system modeling and Simulation results Show that the Kalman filter based observer produces an excellent noise reduction, improve the performance of accelerometer which is used in many navigation and automobile application. Paper also discusses the noise sources present in the accelerometer.
References
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