小波阈值去噪法在MEMS陀螺信号处理中的应用

Application of Wavelet Threshold Denoising Method in MEMS Gyroscope Signal Processing

近年来MEMS陀螺发展迅速,应用广泛,但性能参差不齐。为改善MEMS陀螺的输出信号性能,综述了近年来小波阈值去噪法在该领域内的研究进展情况。重点从阈值函数的不同改进形式、阈值选取方式的不同以及分解层数三方面对比分析各小波阈值去噪法之间的优缺点。通过现阶段的去噪效果评判标准,结合MEMS陀螺信号的特点,对近年来小波阈值去噪的应用情况进行分析说明,总结小波阈值去噪法在不同使用条件下对MEMS陀螺信号处理上的优势与不足,为后续相关研究提供一定的参考价值。

MEMS gyroscopes have developed rapidly in recent years.They are widely used,but with uneven performace.In order to improve the performance of MEMS gyroscope output signals,the recent research progress of wavelet threshold denoising method was reviewed.The merits and faults of this kind of method were compared in three aspects,including different improved forms of threshold function,threshold selection mode,and decomposition level.Through the current denoising effect evaluation criteria,combined with the characteristics of MEMS gyroscope output signals,the application of wavelet threshold denoising method in these years was analyzed and explained.Various applications using this method processing MEMS gyroscope signal were summed up.Both advantages and disadvantages under different conditions were fully discussed.The results have some reference value for other related future research.