Distributed optical sensing signal noise reduction method based on curvelet transformation

• Main Authors: LEI WEIXIN, YANG JIASHENG, WU GAOFU, IKEDA, HUANG TIANYE, ZHU TIANCHE, LI DESHENG, SHEN YUPING, ZHAO BINKAI, HUANG SHAN, ZOU SHUILONG, GAN SHENGFENG, LI XIANG
• Format: Patent
• Language: Chinese; English
• Published: 22.09.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a noise reduction method for distributed optical sensing signals based on curvelet transformation. The noise reduction method comprises the following steps: continuously collecting back Rayleigh scattering original signals generated by a plurality of optical pulses; performing orthogonal demodulation on the original signal to obtain demodulated data; stacking the demodulated data according to the optical pulse time sequence to form a two-dimensional matrix; performing fast discrete curvelet transformation and scale decomposition on the two-dimensional matrix to obtain a curvelet coefficient matrix; performing threshold processing on the sub-matrix block corresponding to each direction of each scale to obtain a processed curvelet coefficient matrix; performing fast discrete curvelet inverse transformation on the processed curvelet coefficient matrix to obtain a transformed matrix; and moving difference is carried out by using the transformed matrix, and the disturbance position on the o