Abstract
In order to achieve a particular desired result for de-noising the random noises of optic gyroscopes in Inertial Measurement Unit under disturbing circumstance, the Theoretical variance#1 was applied to determine the characteristics of the various types of error terms in the gyroscope gyros output by performing certain operations on the entire length of data, which improves the confidence efficiently and evaluation precision than conventional variance methods. Meanwhile, the application of the lifting wavelet transform has been implemented in de-noising the stochastic noise generated for a gyroscope gyro. Experimental results have validated the feasibility of the proposed filtering method, which is more effective than the traditional de-noising methods.
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References
Wang, X.L., Ma, S.: Applicability compensation method for random drift of fiber optic gyro scopes. J. Beijing Univ. Aeronaut. Astronaut. 34(6), 681–685 (2008)
Liu, Y., Li, L.L., Liu, J., et al.: Study on gray neural network drift modeling for piezoelectric gyro. J. Syst. Simul. 19(20), 4676–4679 (2007)
Liu, J.Y., Yu, Z.Y., Ma, X.W.: Modeling and compensation of static temperature error synthetically for fiber optic gyroscope. Acta Optica Sinica 32(8), 823005 (2012)
Tang, X.Q., Cheng, X.W., Guo, L.B., et al.: Error modeling and compensating of fiber optic gyro based on wavelet analysis and grey neural network. Chin. Lasar 39(10), 1008003 (2012)
IEEE STD: IEEE Standard Specification Format Guide and Test Procedure for Single-Axis Interferometric Fiber Optic Gyros (1998)
Wang, X.L., Du, Y., Ding, Y.B.: Investigation of random error model for fiber optic gyroscope. J. Beijing Univ. Aeronaut. Astronaut. 32(7), 769–772 (2006)
Han, J.L., Ge, S.M., Shen, Y.: Research on the random error properties of fog based on total variance. J. Harbin Inst. Technol. 39(5), 708–711 (2007)
Howe, D.A.: Method of improving the estimation of long-term frequency variance. In: Proceedings of 1997 European Frequency and Time Forum, pp. 91–99 (1997)
Tasset, T.N., Howe, D.A., Percival, D.B.: Theo1 confidence intervals. In: 2004 IEEE International Frequency Control Symposium (Canada), pp. 725–728 (2004)
Howe, D.A.: ThêoH: a hybrid, high-confidence statistic that improves on the Allan deviation. Metrologia 43, S322–S331 (2006)
Howe, D.A., Tasset, T.N.: Theo1: characterization of very long-term frequency stability. In: 18th European Frequency and Time Forum (EFTF 2004), pp. 581–587 (2004)
Tang, X.Q., Cheng, X.W., Gao, J.Q.: Hybrid theoretical variance analysis for random error properties of optic gyroscope. Acta Armamentarii 36(9), 1688–1695 (2015)
Naser, El.-S., Hou, H.Y., Niu, X.J.: Analysis and modeling of inertial sensors using Allan variance. IEEE Trans. Instrum. Meas. 57(1), 140–149 (2008)
Liu, Y., Li, Y., Xu, J.J.: Application of a multi-algorithm fusion real time filter in FOGs. Acta Photonica Sinica 9(6), 1116–1119 (2010)
Dang, S.W., Tian, W.F., Qian, F.: De-noising fractional noise in fiber optic gyroscopes based on lifting wavelet. Chin. J. Lasers 36(3), 625–629 (2006)
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Xuwei, C., Yuan, L., Min, Z., Zitong, Y., Can, X. (2021). The Application of Theoretical Variance#1 Method and Lifting Wavelet for Optic Gyroscopes. In: Huang, DS., Jo, KH., Li, J., Gribova, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2021. Lecture Notes in Computer Science(), vol 12837. Springer, Cham. https://doi.org/10.1007/978-3-030-84529-2_16
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