Hybrid methods for MEMS gyro signal noise reduction with fast convergence rate and small steady-state error

摘要

Highlights?Hybrid methods for signal noise reduction is proposed under different conditions.?Determine IMF modes by consecutive MSE and probability density functions.?Determine different motion state by AMA even at complex motion state.?Select proper denoisng method accordingly.AbstractIn this paper, a hybrid method is proposed for noise reduction in MEMS gyro signal. To ensure rapid response rate and small steady-state error, and by simultaneously considering the motion state complexity of noisy signal especially under dynamic state, denoising scheme is well-designed, which can be divided into three steps: distinguishing different IMFs modes, determining current motion state, and selecting proper denoising method. Two carefully selected indexes divide the IMFs into three parts, noisy IMFs, mixed IMFs and information IMFs, with the mixed IMFs needed further processing. Sample variances based on AMA a