Year-end Sale % OFF 
Abstract
In this paper, the author analyzes characteristics and extracting method of interference signal of the distributed optical fiber sensing. In the distributed optical fiber sensing, realizing alarm and positioning function only through the cross-correlation operation will increase the load of the system, can make misinformation rate of the system be improved greatly. Therefore, before the localization algorithm, adding a interference signal feature recognition is very necessary, can reduce unnecessary operation loss and reduce the load of the system, also reducing the number of the false positives.
Highlights
With the development of optical fiber communication technology, the optical fiber sensing technology draws a great attention, and is widely used in the earthquake monitoring[1,6,7], temperature alarm [2] and becomes one of the most important technology in information society, and has huge market potential
Sorting the interference signal that is gathered by Digital Signal Processor (DSP), establishing corresponding mode, filtering useless information and noise, selecting and extracting needed information, can greatly improve the sensor system alarm and positioning accuracy
When the short time average energy is smaller than a certain threshold, we judge it as vibration signal
Summary
With the development of optical fiber communication technology, the optical fiber sensing technology draws a great attention, and is widely used in the earthquake monitoring[1,6,7], temperature alarm [2] and becomes one of the most important technology in information society, and has huge market potential. When the light from the laser light source spreads in the fiber ,if external factors such as stress, temperature, electric field and magnetic field change, the characteristic parameters such as the light wave amplitude, phase, wavelength and polarization state will change[3].the optical fiber sensing technology draws a great attention, be researched and applied in almost every field. Sorting the interference signal that is gathered by Digital Signal Processor (DSP), establishing corresponding mode, filtering useless information and noise, selecting and extracting needed information, can greatly improve the sensor system alarm and positioning accuracy. Based on the short time analysis method, the paper discusses and analyzes short-term energy of identification method
Sign-in/Register to view highlights & summary 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.
