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�������պ����ѧѧ�� 2008, Vol. 34 Issue (06) :630-633    DOI:
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Parameter estimation and elimination to fractal noise of fiber optic gyro
Wu Huawu, Ren Zhang*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� There are Gauss white noise and fractal noise in drift of fiber-optic gyro. It is difficult to eliminate this mixed noise using traditional time series analysis method. Based on wavelet analysis, a new parameter estimation approach step by step for fractal stochastic processes and added white noise was proposed. On the basis of the fit for autocorrelation function, the power of white noise was estimated. Then the parameters of fractal noise were estimated in wavelet transform. The suitable threshold was selected to filter fractal noise and white noise of measurements. This estimation and denoising method is effective for this mixed noise in fiber optic gyro which can be proven by experiment results. Further more, a prior knowledge of noise is not needed, which means it is suitable in most situations.
Keywords�� fiber optic gyro   1/f�Cγ noise   parameter estimation   wavelet analysis   wavelet filtering     
Received 2007-05-23;
About author: �仪��(1983��),��,���ϳ�����,˶ʿ��,wuhuawu@163.com.
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�仪��, ����.���������з��������IJ������ƺ�ȥ��[J]  �������պ����ѧѧ��, 2008,V34(06): 630-633
Wu Huawu, Ren Zhang.Parameter estimation and elimination to fractal noise of fiber optic gyro[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(06): 630-633
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http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2008/V34/I06/630
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