Using BP Neural Network and Kalman Filter to Signal Processing of MEMS Inertial Sensors

Wenxian XIAO, Hao ZHANG, Xiaoqin MA
2013 Sensors & Transducers  
The paper put forward using BP neural network and Kalman filter to signal processing of MEMS inertial sensors. This paper uses Kalman filter value for information fusion of gyroscope and accelerometer, and the attitude angle is accurate. The state and observation equation of attitude angle measuring system with characteristic of BP neural network, and the design of the Kalman filter is simple and gyroscope measurement information data fusion, the preparation of the corresponding MATLAB program
more » ... alman filter is designed. Through the simulation results of the image, this method can compensate the zero drift of gyroscope, improves the measurement precision of the attitude angle.
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