Abstract
An effective filtering method for MEMS gyro random drift is discussed. On the basis of the fundamentals and defect analysis of wavelet threshold de-noising, a new continuous threshold function at λ is presented, signal concussion and distortion in wavelet hard and soft threshold method is effectively overcome. The improved wavelet de-noising algorithm is applied to MEMS gyro signal filtering experiment and experimental results show that the proposed method can effectively reduce the high frequency noise, restrain the MEMS gyro random drift, increases the SNR and decrease the MSE.
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