Application of Kalman filter based fiber opticgyroscope in airborne electro-optical system

Due to the high output noise and the random drift of fiber optic gyroscope (FOG) which bring on low dynamic performance of airborne electro-optical (E-O) system, the mea-sured data of FOG output in system was analyzed. According to the noise feature, the AR2 model of FOG was established. And a method of the Kalman filter based FOG in airborne E-O system was studied. Compared with the traditional moving average filter, the results of experiment were displayed. The results show that the high frequency noise can be filtered, and the random drift is restrained. Also the dynamic performance of system is improved effectively. These results provide reference values for the applications of FOG in airborne E-O system.