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皇冠app:EMD阈值滤波在光纤陀螺漂移信号去噪中的应用

光纤陀【螺(FOG)的漂】移 <输> 出‘经常’淹〖没〗在噪【声中,】直‘接’建模【补】偿『漂』移信号非‘常困难,’提出基于 履历[模态剖析(EMD)的]阈 值‘滤波’要领(EMD-T)《对漂移》信『号』预‘处’理。为了提高EMD 剖析[的正确度,基]于 噪声撒播模〖型〗引入一「种有界噪声」辅 助[分]析 的 要领,[将漂]移 信{号}中幅“值”小、〖频〗率“高的噪”声 <信> 息「压」缩(至)低阶本「征」模态函 数[中。为了]验证 算‘法’的‘有用性,’采【集】一款过问干与 <型fog 的> 静态〖漂〗移 <输> 出作为“测”试{信}号,『将EMD-T 』与‘基’于小‘波包变’换(WPT) 和常[规EMD(CEMD)的]阈值滤 波要领进(行了对比)分〖析。仿真〗功效及Allan方{差说明表}明,EMD-T较WPT和CEMD 滤波『性』能有显 <著> 的改‘善,经EMD-T ’处{理}后,「漂移信号」的《量化噪声(Q)》和〖角〗度随‘机游走(N)分’别〖由0.7862 μrad 和4.58×10-3(°)·h-1/2下降至0.1340 μrad 〗和9.03×10-4(°)·h-1/2。

要害词

Abstract

The drift signal of fiber optic gyroscope (FOG) is often buried in noise. It is difficult to compensate drift directly, and a novel threshold filtering method based on empirical mode decomposition (EMD) (designated as EMD-T) is proposed as a pre-processing tool. Based on the noise spread model of EMD, a bounded noise assist analysis method is introduced to improve the decomposition accuracy of EMD. The noises with low magnitude and high frequency are compressed into early intrinsic mode functions. The static output of interferometric FOG is adopted to verify the effectiveness of EMD-T. Comparison analysis with filtering methods based on wavelet packet transform (WPT) and conventional EMD (CEMD) is done. Experimental and Allan variance analysis results show that EMD-T outperforms denoising method based on WPT and CEMD. The quantization noise (Q) and angle random walk (N) are decreased from 0.7862 μrad and 4.58×10-3(°)·h-1/2 to 0.1340 μrad and 9.03×10-4(°)·h-1/2, respectively, after applying EMD-T.

增补>资「料

」中图「分」类号:V241.5

DOI:10.3788/aos201535.0207001

{所属栏}目:傅《里》叶 <光> 学『与』光信号处{理

}责{任编}辑:「张雁  信息反」馈

基“金项”目: 国[家]自然科学 基金(51375087,50975049)、(中)央高(校基本科)研 营业费[专项]资金资 助、江苏‘省普’通‘高校研’究 生[科]研 创{新}计划 <资> 助项目(KYLX_0106)

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