Abstract
Since fiber distributed vibration sensing (DVS) system based on phase-sensitive optical time domain reflectometer (Φ-OTDR) is extremely sensitive to the ambient environment, how to improve signal-to-noise ratio (SNR) and obtain vibration signal from background noise has become a key problem in the field. In this paper, firstly, based on the analysis of the wavelet high frequency component location algorithm and the separating averaging and differential algorithm, an improved separating averaging and differential algorithm is proposed by introducing an interval. Then cell average constant false alarm rate (CA-CFAR) detection algorithm is used to set the adaptive threshold. Finally, the continuous vibration section is found according to the influenced-spatial scale of the pipeline intrusion vibration, and the middle position of the section is judged to be the vibration position. The experimental results show that the positioning algorithm has less positioning error, shorter runtime and higher SNR. The SNR can be as high as 9.3483dB and the computation amount of the next identification module is reduced.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
