Research on the characteristic of bias error and noise analysis method of fiber optic gyroscope

被引：0

作者：

Yang, Yuanhong ^{[1
,2
]}

Meng, Chenxue ^{[1
]}

机构：

[1] Key Laboratory on Precision Opto-Mechatronics Technology of Ministry of Education, Beihang University, Beijing

[2] National Key Laboratory on Inertial Technology, Beihang University, Beijing

来源：

Guangxue Xuebao/Acta Optica Sinica | 2014年 / 34卷 / 12期

关键词：

Allan variance; Bias error; Fiber optic gyroscope; Fiber optics; Noise analysis; Sinusoidal noise;

D O I：

10.3788/AOS201434.1206006

中图分类号：

学科分类号：

摘要：

Fiber optic gyroscope (FOG) is a typical optical fiber interferometer. The nonreciprocal errors in its output are mainly induced by parasitic interferences and its zero bias error demonstrates a periodical characteristic. The sinusoidal noise induced by the parasitic interferences is found to be the main impact factor of bias error by using the Allan variance analysis method. By adding the sinusoidal noise to the original FOG output, we find that the “rate ramp and rate random walk” sections in the Allan variance curve are due to the sinusoidal noise. The sinusoidal noise identification method is implemented by using wavelet analysis and Fourier analysis. Based on this, the calculation methods for bias instability coefficient, angle random walk coefficient and quantization noise coefficient are proposed with wavelet analysis and Allan variance analysis and validated in experiment. ©, 2014, Chinese Optical Society. All right reserved.

引用

页数：5

共 11 条

[1]

Zha F., Gao J., Xu J., Et al., Overview on strapdown inertial system consisted by optical gyros , Laser & Optoelectronics Process, 48, 7, (2011)

[2]

Gao Y., Deng Z., Investigation on random error properties of optic gyro based on wavelet variance , Journal of Chinese Inertial Technology, 12, 5, pp. 66-70, (2004)

[3]

Lam Q.M., Stamatakos N., Woodruff C., Et al., Gyro modeling and estimation of its random noise sources , AIAA Guidance, Navigation, and Control Conference and Exhibit, pp. 1111-1114, (2003)

[4]

Lai J., Liu J., Lin X., Et al., Performance evaluation on IFOG , Journal of Transducer Technology, 23, 9, pp. 31-34, (2004)

[5]

El-Sheimy N., Hou H., Niu X., Analysis and modeling of inertial sensors using Allan variance , IEEE Transactions on Instrumentation and Measurement, 57, 1, pp. 140-149, (2008)

[6]

Sanders S.J., Strandjord L.K., Mead D., Fiber optic gyro technology trends-a Honeywell perspective , Optical Fiber Sensors Conference Technical Digest, pp. 5-8, (2002)

[7]

Lu X., Zhang G., Estimation of various noise factors from Allan variance by subsection method , Piezoelectrics and Acoustooptics, 31, 2, pp. 166-168, (2009)

[8]

IEEE Standard Specification Format Guide and Test Procedure for Single-Axis Interferometric Fiber Optic Gyros , (1998)

[9]

Li J., Xu H., He J., Research and improvement of denoising method of fiber optic gyroscope based on wavelet packet analysis , Acta Optica Sinica, 30, 8, pp. 2224-2228, (2010)

[10]

Tang X., Cheng X., Guo L., Et al., Error modeling and compensating of fiber optic gyro based on wavelet analysis and grey neural network , Chinese J Lasers, 39, 10, (2012)

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