小波理论及其在光纤陀螺信号分析中的应用

Wavelet Theory and Its Application in Signal Analysis of Fiber-Optic Gyroscope

分析了 Fourier变换、短时 Fourier变换和小波变换的不同特点以及光纤陀螺信号噪声产生的原因 .根据光纤陀螺信号零点漂移的非平稳随机性和非正态分布特性 ,提出了利用小波变换所具有的时频局部化优点对其随机过程进行时频功率谱分析 ,在此基础上给出了随机过程的时 -频功率谱的分析方法 .选用具有良好紧支性的 Mexio帽小波为母小波对光纤陀螺随机噪声序列进行处理 ,仿真结果表明 ,基于小波理论的时

The difference characteristics of Fourier transform, short time Fourier transform and wavelet transform were analyzed. The definition and properties of wavelet were introduced and the principle of noise of fiber opticgyroscope were researched. According to the properties of nonstationary and nonnormal distribution of bias drift of fiber optic gyroscope, the wavelet transform used to study the spectral density of random process and the time frequency power spectral density method was proposed. The simulation results show that the random process can be effectively dealt with by the method.