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小波分析在光纤陀螺分形噪声模拟中的应用 被引量:2

Simulation of Fractal Noise in Fiber Optic Gyroscope Using Wavelet Analysis
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摘要 光纤陀螺随机误差的功率谱密度分别与频率的γ次方成反比,这类随机过程统称为1/fγ分形噪声,研究生成这类信号的方法对分析光纤陀螺的输出信号具有重要意义。分形噪声具有非平稳性、长程相关性、自相似性及1/fγ谱密度的特性,小波变换的多分辨分析是研究1/fγ噪声的良好工具。通过对高斯白噪声进行小波变换,再结合1/fγ噪声的方差特性,找到了满足1/fγ信号生成定理的各尺度正交小波系数,最后采用正交小波逆变换模拟出分形噪声,此方法可以产生任意噪声强度σ2、任意谱参数γ的1/fγ噪声。 The power spectrum density of random noise of Fiber Optic Gyroscope(FOG) is inversely proportional to frequency's power,and the random process was called 1/f^γfractal noise.The study on method for generating 1/f^γnoise is very important for analyzing FOG's output signals.Fractal noise has the characteristics of nonstationarity,long-term correlation,self-similarity and 1/f^γspectral density with 1/f^γpower law.The multi-resolution analysis of wavelet is a powerful tool for studying fractal noises.The wavelet is transformed by Gauss white noise firstly,then combing with the variance characteristics of 1/f^γnoise,it is found that the orthonormal wavelet coefficient collection can satisfy the 1/f^γnoise synthesis theory.The fractal noise is then simulated by using inverse orthonormal wavelet transform.The result proves that 1/f^γnoise with any given amplitude and γ value within the limitation of wavelet regularity can be generated in this way.
出处 《电光与控制》 北大核心 2010年第5期50-53,共4页 Electronics Optics & Control
基金 国家高新技术"八六三"研究发展计划资助项目(2007AA04Z436)
关键词 光纤陀螺 随机误差 功率谱密度 1/fγ噪声 分形噪声 小波变换 FOG random noise power spectrum density 1/f^γnoise fractal noise wavelet transform
作者简介 陈婧(1985-),女,山西大同人,硕士生,研究方向为光纤陀螺及其系统研究。
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  • 1李强,王其申.小波谱及其在线性调频信号检测中的应用[J].量子电子学报,2005,22(5):685-689. 被引量:16
  • 2Herve L. The fiber-optic gyroscope[M]. London: Artech House, 1993.
  • 3IEEE Std 952-1997. IEEE Standard Specification Format Guide and Test Procedure for Single-Axis Interferometric Fiber Optic Gyros[S].
  • 4GJB-2426-95.光纤陀螺仪测试方法[S].[S].,..
  • 5Yang Fusheng.Engineering Analysis and Applications of Wavelet Transform (小波变换的工程分析与应用)[M].Science Press,2000.
  • 6Liu Feng,Liu Guizhong,Zhang Zhuosheng.Wavelet-based representations for the fractal signal[J].Natural Science Progress.2001,11(6):621-624.
  • 7Wornell G W.Wavelet-based representations for the 1/f family of fractal processes[J].Proceedings of the IEEE.1993,81(10):1428-1450.
  • 8Wornell G W,Oppenheim A V.Estimation of fractalsignals from noisy measurements using wavelets[J].IEEE Transactions on Signal Processing,1992,40(3):611-623.
  • 9Koch K R,Yang Y.Robust Kalman filter for rank deficient observation models[J].Journal of Geodesy,1998,72(7):436-441.
  • 10Ninness B.Estimation of 1/f Noise[].IEEE Transactions on Industry Applications.1998

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