摘要
随机误差是影响MEMS陀螺仪精度的重要因素。为了有效处理MEMS陀螺仪的随机误差,采用Allan方差对其进行辨识。通过对比选取Birge-Massart策略确定阈值,在分析硬阈值、软阈值和折中阈值小波去噪的基础上,提出了一种改进的小波阈值去噪算法。该算法构造了一种改进的阈值函数,它具有良好的连续性,一定程度减少了恒定偏差问题。利用MEMS陀螺仪输出信号,分别采用硬阈值、软阈值、折中阈值和改进阈值小波去噪算法进行对比实验。结果表明:改进的小波阈值去噪算法能更好地抑制MEMS陀螺仪的随机误差,处理信号的高频噪声,去噪效果较优。
Random error is an important factor affecting the accuracy of MEMS gyroscope.In order to deal with the random error of MEMS gyroscope effectively,Allan variance is used to identify it.Through comparing and selecting Birge-Massart strategy to determine the threshold,an improved wavelet threshold denoising algorithm is proposed based on the analysis of hard threshold,soft threshold and compromise threshold.This algorithm constructs an improved threshold function,which has good continuity and reduces the problem of constant deviation to some extent.Using the output signal of MEMS gyroscope,we use hard threshold,soft threshold,compromise threshold and improved threshold wavelet denoising algorithm to carry on the contrast experiment.The results show that the improved wavelet threshold denoising algorithm can better suppress the random error of MEMS gyroscope,process the high frequency noise of the signal,and the denoising effect is better.
作者
吴保锋
夏林元
吴东金
祝宏宇
WU Baofeng;XIA Linyuan;WU Dongjin;ZHU Hongyu(School of Geography and Planning,Sun Yat￣sen University,Guangzhou 510275,China)
出处
《电子器件》
CAS
北大核心
2020年第5期1104-1107,共4页
Chinese Journal of Electron Devices
基金
国家自然科学基金(41704020)
国家重点研发计划项目(2017YFB0504103)
中央高校基本科研业务费专项项目(17lgpy43)。
作者简介
吴保锋(1995-),男,硕士研究生,研究方向为惯性导航与室内定位,344804240@qq.com;夏林元(1964-),男,博士生导师,教授,主要从事卫星定位和GIS集成及在LBS、ITS中的应用、Indoor和Outdoor定位研究。
