摘要
陀螺随机漂移是影响MEMS陀螺仪精度的重要指标,有效减小MEMS陀螺仪的随机漂移误差是提高MEMS陀螺仪使用精度的关键技术之一。文中在分析了小波阈值法的去噪原理和存在的缺陷的基础上,构造了一种新的阈值函数,并利用3σ准则提取阈值,提出了一种改进的小波阈值去噪法,并将其应用于MEMS陀螺仪输出信号的滤波处理中,取得了良好的去噪效果。实验结果表明,文中提出的方法可以有效减少信号中的高频噪声,很好地抑制MEMS陀螺仪的随机漂移,去噪效果明显优于传统的小波阈值法。
Gyro random drift is an important index that can affect the precision of MEMS gyro. Decreasing the random drift error is one of the key techniques in improving the precision of MEMS gyro. In this paper, based on the analysis of the theory and the disadvantages of the wavelet thresholding de-noising method, an improved wavelet thresholding de-noising method is proposed. In the new method, a new thresholding function is constructed, and 3σ criterion is used to calculate threshold. The improved wavelet thresholding de-noising method is applied to de-noise the output signal of the MEMS gyro, and the good de-noising result is achieved. The experimental results show that the proposed method is better than traditional wavelet thresholding de-noising methods. It can effectively reduce the noise in high frequency and restrain the drift error ofMEMS gyro.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2009年第2期231-235,共5页
Journal of Chinese Inertial Technology
关键词
小波阈值去噪法
阈值函数
3σ准则
陀螺随机漂移
wavelet thresholding de-noising method
thresholding function
3σ criterion
gyro random drift
