Application of Gyro Signal Processing in Stabilized Platform Based on Biorthogonal Wavelet Analysis
Qi Li · Measurement & Control Technology · 2007
Aiming at the non-stationary character of signal noise of fiber optic gyro(FOG) in the stabilized platform,the signal model of FOG and some methods of noise reduction are analyzed and discussed.According to the advantage of biorthogonal wavelet having both compactness symmetry,an improved filtering method of module square based on biorthogonal wavelet is presented.Combining 3σ criterion and the different decomposition level,a variable threshold function is adopted.The experimental results show the method can eliminate signal noise of FOG effectively and attain better accuracy than IIR filter and orthogonal wavelet filter.