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

Stochastic noise in a fiber optic gyro (FOG) is mainly caused by white noise and 1/fγ fractal noise. The latter noise is characterized by long-term correlation, self-similarity and spectral density with 1/fγ 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.

► A mixed EMD-LWT technique is proposed and implemented for FOG denoising.
► Experimental results of the FOG data validate the proposed method. γ   , σx2 and σW2 are estimated as 1.9271, 0.0000362 and 0.00404.
► Three noise terms are improved to 0.0092°/h, 0.0022°/h and 0.0084° respectively.