Noise Suppression of Distributed Acoustic Sensing Based on <i>f</i>-<i>x</i> Deconvolution and Wavelet Transform
Wenhui Sun, Sha Zhu, Wei Li, Wei Chen, Ninghua Zhu
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.
Topics & Concepts
DeconvolutionWavelet transformWaveletNoise (video)AcousticsComputer sciencePhase noiseSignal-to-noise ratio (imaging)Sensitivity (control systems)Wavelet packet decompositionPhase (matter)PhysicsOpticsElectronic engineeringAlgorithmTelecommunicationsArtificial intelligenceEngineeringImage (mathematics)Quantum mechanicsSeismic Waves and AnalysisUltrasonics and Acoustic Wave PropagationAdvanced Fiber Optic Sensors