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《Chinese Journal of Sensors and Actuators》 2009-11
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Robust Estimation for FOG Data Based on Wavelet Threshold De-Noising

JIANG Qingxian1,2,WU Fumei2,3 1.Academy of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710049,China;2.Xi'an Research Institute of Surveying and Mapping,Xi'an 710054,China;3.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China  
A new algorithm based on robust estimation and wavelet threshold de-noising for FOG data is presented to degrade the influence of random drift on the precision of FOG north seeker.First,frequency spectral analysis for FOG data is given to decide the scale of wavelet decomposing and dispose high frequency coefficients.The high frequency coefficients of the scale that mostly contains noises will be set zero and those of the scale that contains noises and useful signals will be dealt with the threshold value.Second,robust estimation is applied to FOG data processing,which applies the median of the residuals of the first epoch robust estimation to obtain stable standard deviation factor;adopts the mixed iterative algorithm based on high breakdown point initial value and assisted with IGGⅢ scheme.The calculations show that the new algorithm can effectively resist external disturbances,and in turn,can improve the precision of FOG north seeker.
【Fund】: 军队科研项目资助(K04409)
【CateGory Index】: V241.5
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