EMD- and LWT-based stochastic noise eliminating method for fiber optic gyro

被引：33

作者：

Dang, Shuwen ^{[1
]}

Tian, Weifeng ^{[1
]}

Qian, Feng ^{[1
]}

机构：

[1] Shanghai Univ Engn Sci, Air Transportat Coll, Shanghai 201620, Peoples R China

来源：

MEASUREMENT | 2011年 / 44卷 / 10期

关键词：

Empirical mode decomposition; Lifting wavelet transform; Fiber optic gyro; Stochastic noise; 1/f' Fractal noise; SIGNALS;

D O I：

10.1016/j.measurement.2011.07.016

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Stochastic noise in a fiber optic gyro (FOG) is mainly caused by white noise and 1/f' fractal noise. The latter noise is characterized by long-term correlation, self-similarity and spectral density with 1/f' power law. The application of the empirical mode decomposition (EMD) method and the lifting wavelet transform (LWT) as a novel EMD-LWT technique has been proposed and implemented in denoising the stochastic noise generated for a FOG. The EMD method is a novel nonlinear and non-stationary signal processing method and the LWT is a lifting scheme of wavelet transform. Experimental results of the FOG data have validated the feasibility of the proposed method, which is more effective than the denoising methods that use either LWT or the EMD method. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.

引用

页码：2190 / 2193

页数：4

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