Application of Ceemdan and Wavelet Threshold Denoising in Perimeter Security of Fiber Grating

Abstract

To improve the observability of noise in distributed optical fiber perimeter security system, a denoising algorithm based on CEEMDAN and wavelet transform is proposed. The CEMMDAN is used to decompose the noise signal, and the noise signal and the intrusion signal are decomposed. The wavelet transform is used to denoise and remove the Gaussian noise component. Finally, the CEEMDAN and wavelet denoising are combined to remove the noise, and the denoising signal in line with the subsequent steps of demodulation is obtained. Experiments show that the proposed algorithm can effectively remove Gaussian noise and effectively reduce the interference noise and inherent electronic noise in the optical fiber perimeter security system.