摘要
在光纤陀螺中存在具有非平稳性、长程相关性、自相似性及具有 1/fγ 类型谱密度的分形噪声 ,采用传统的方法很难去除这类噪声。由于小波分析的多分辨分析特性 ,使之成为研究分形噪声的有力工具。在DJ小波非线性滤波的基础上 ,根据分形噪声在小波变换域的性质选择域值进行滤波。这种方法对去除光纤陀螺中的分形噪声简单有效 ,仿真结果进一步验证了这一点。
In a fiber optic gyro, there exsit fractal noises characterized by nonstationarity, long term correlation, self similarity and 1/f*#\+γ *!spectral density with 1/f*#\+γ *!power law. It is difficult to eliminate fractal noises using traditional method. On account of the characteristics of the wavelet multi resolution analysis, wavelet analysis has become a powerful tool to study fractal noises. Based on the DJ nonliner filtering with wavelet, thresholds are chosen to perform filtering according to the properties of fractal noises in wavelet transform domain. This method is simple and efficient to eliminate fractal noises from a fiber optic gyro, which can be futher proven by simulation results.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2002年第4期64-66,共3页
Systems Engineering and Electronics
关键词
小波分析
FOG
1/f^γ噪声
光纤陀螺
f*#\+γ *!noises
Fiber optic gyro
Wavelet transform
Nonlinear filtering
