Noise Suppression of Distributed Acoustic Sensing Based on f-x Deconvolution and Wavelet Transform

Abstract

A noise suppression method based on f-x deconvolution and the wavelet transform is proposed for eliminating jump edges in the phase noise of distributed acoustic sensing. Experimental results show that the proposed method has good performance in terms of enhancing the quality of seismic waves. It ensures relatively stable phase sensitivity and improves the signal-to-noise ratio, making the characteristics of seismic wave signals more obvious.