Acta Photonica Sinica, Volume. 48, Issue 12, 1212003(2019)
Modified Adaptive Real-time Filtering Algorithm for MEMS Gyroscope Random Noise
A modified Kalman real-time adaptive filter method was proposed for micro-electro-mechanical system gyro which is easy to be susceptible to environmental influences and stability, and lead to the problems that the established random drift model parameter and the noise statistical property change. The order of random drift ARMA model was determined by analyzing the measured data. On this basis, the recursive least square method was used to update the model parameters in real time. According to the characteristics of gyro noise parameters, a real-time filtering method of Allan variance analysis based on fading memory factor and Sage-Husa adaptive filter algorithm was proposed to estimate the parameters of
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Jun FU, Hong-xiang HAN. Modified Adaptive Real-time Filtering Algorithm for MEMS Gyroscope Random Noise[J]. Acta Photonica Sinica, 2019, 48(12): 1212003
Received: May. 7, 2019
Accepted: Sep. 3, 2019
Published Online: Mar. 17, 2020
The Author Email: HAN Hong-xiang (17607114660@163.com)