SIGNAL MODEL OF NOISE IN OPEN-LOOP FIBEROPTIC GYROS

The characteristics of noise in fiber-optic gyros are analyzed quantit atively. Based on its physical characteristics and on autocorrelation function evidence, the noise is modeled as the addition of fractal Bro wnian motion (FBM) and Gaussian white noise (GWN). The value of self-s imilarlity parameter H in FBM and the intensity of GWN, sigma(w), in t he model are robustly determined with an algorithm based on an orthono rmal wavelet transform, which demonstrates well the coexistence of the long-and short-term correlation components of the gyro noise. Moreove r, it is revealed that FBM dominates the gyro noise, whereas the GWN i s minor. (C) 1997 Optical Society of America.