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基于改进小波阈值法处理MEMS陀螺信号噪声
引用本文:杜继永,黄国荣,程洪炳,刘华伟.基于改进小波阈值法处理MEMS陀螺信号噪声[J].电光与控制,2009,16(12):61-64.
作者姓名:杜继永  黄国荣  程洪炳  刘华伟
作者单位:空军工程大学工程学院,西安,710038
基金项目:国家自然科学基金项目 
摘    要:小波具有多分辨率分析特性,利用小波阈值去噪可以有效地处理MEMS陀螺信号的噪声.针对常用阈值小波去噪方法的不足,提出了一种改进的小波阈值方法.详细介绍了该方法的原理与实现过程,并将其应用到MEMS陀螺信号处理过程中.使用db4小波,应用不同的阈值函数对MEMS陀螺信号进行4尺度分解.仿真实验分析比较表明,改进的小波阈值方法可以有效地剔除信号中的噪声,抑制了MEMS陀螺仪的随机漂移;与现有的阈值方法相比,信噪比提高了18.3%.

关 键 词:MEMS陀螺  小波分析  阈值去噪  阈值函数  随机漂移
收稿时间:2008/10/15

Noise Processing of MEMS Gyro Based on Improved Wavelet Threshold Method
DU Jiyong,HUANG Guorong,CHENG Hongbing,LIU Huawei.Noise Processing of MEMS Gyro Based on Improved Wavelet Threshold Method[J].Electronics Optics & Control,2009,16(12):61-64.
Authors:DU Jiyong  HUANG Guorong  CHENG Hongbing  LIU Huawei
Affiliation:DU Jiyong,HUANG Guorong,CHENG Hongbing,LIU Huawei(Engineering College,Air Force Engineering University,Xi'an 710038,China)
Abstract:The wavelet has the multi-resolution analysis characteristics,and the wavelet threshold de-noising method can be applied to process the noise of MEMS gyro signal.Based on the analysis to the existing threshold wavelet de-noising methods,an improved wavelet threshold de-noising method is presented.The principle and implementation of this method are presented in detail.The method was used to process the MEMS gyro's signal.By using db4,different threshold functions were adopted for signal decomposition of the ...
Keywords:MEMS gyro  wavelet analysis  threshold de-noising  threshold function  random drift  
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