Application of the scaled unscented Kalman filter with augmented state in the fiber optic gyroscope

The interferometric fiber optic gyroscope (IFOG) is a nonlinear response system. The noise, which results from the optic and electrical parts of the gyro for the environmental disturbance, includes both nonlinear noise and additive noise, and degrades the bias stability of the gyro. In this paper, the nonlinear state equation about the closed-loop IFOG is deduced from analyzing the sources, characteristic and effect of noise, and then the scaled unscented Kalman filter (SUKF) with augmented state is presented to reduce the noise. The experiment showed that: by adjusting SUKF parameters, it evidently decreases the standard deviation and Allan variance of the bias stability. Therefore this algorithm achieves better performance of filtering and improves effectively the bias stability of the gyro.
fiber optic gyroscope nonlinear noise Kalman filter bias stability Allan variance
Zhongxiao Ji Caiwen Ma
Xian Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences,Xian, Shaanxi Xian Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences, Xian, Shaanxi
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
99-102
2010-12-25(万方平台首次上网日期,不代表论文的发表时间)