Share Email Print

Journal of Applied Remote Sensing

Influences of intrusion signal’s characteristics on detection performances of the distributed sensor based on phase-sensitive optical time domain reflectometer
Author(s): Yage Zhan; Kun Wang; Qiao Yu; Hua Wu; Yong Kong
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Phase-sensitive optical time domain reflectometer (Φ-OTDR) has been a research hotspot in recent years. For Φ-OTDR, the Rayleigh backscattering light is monitored with a photodetector, and the plotted trace is a curve of the returned optical power versus time. The time is proportional to the distance from the location along the sensing fiber to the optical pulses’ incident end. The trace presents the form of speckle-like profile owing to the coherent addition of the amplitudes of the light backscattered from different locations of the fiber. Based on this, the influences of the intrusion signal’s characteristics (occurrence location and phase variation) on the detection performances of the distributed sensor based on Φ-OTDR are investigated theoretically and demonstrated experimentally, especially on signal-to-noise ratio (SNR), missing report, and location accuracy. Results show that if intrusions occur at locations corresponding to the curve’s peak or subpeak and when its phase variation is (2k+1)π(k=1,2,3⋯), SNR will be the maximum. If intrusions occur at locations corresponding to the curve’s troughs, a missing report will occur no matter what value is taken by the phase variation of the intrusion signal. On the other hand, experimental results show most missing reports can be uncovered by using a frequency tunable laser and/or optical pulses with an alternative repetition frequency.

Paper Details

Date Published: 28 September 2015
PDF: 10 pages
J. Appl. Rem. Sens. 9(1) 094093 doi: 10.1117/1.JRS.9.094093
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Yage Zhan, Donghua Univ. (China)
Kun Wang, Donghua Univ. (China)
Qiao Yu, Donghua Univ. (China)
Hua Wu, Donghua Univ. (China)
Yong Kong, Donghua Univ. (China)

© SPIE. Terms of Use
Back to Top