Pre-whitening filter of fractal noise in fiber optic gyroscope

Fractal noise in fiber optic gyroscope (FOG) usually is long-term dependent, which causes FOG a rather slow drift. In order to filter this noise, a pre-whitening filter based on fractional difference (FD) was proposed. By this filter, fractal noise could be transformed into Gaussian white noise (GWN). And through wavelet analysis, the pre-whitening noise could be eliminated by Bayes soft-threshold denoising in wavelet domain. On the two aforementioned steps, it came into a pre-whitening filter method of fractal noise. After the test data processing of FOG-VG949p, the results show that its fractal noise was removed efficiently, so the slow drift is restrained. The high frequency noise terms of FOG also greatly decrease.