Back to Search Start Over

Truly Distributed Coaxial Cable Sensing Based on Random Inhomogeneities.

Authors :
Zhu, Chen
Zhuang, Yiyang
Chen, Yizheng
Huang, Jie
Source :
IEEE Transactions on Instrumentation & Measurement. Nov2019, Vol. 68 Issue 11, p4600-4607. 8p.
Publication Year :
2019

Abstract

Rayleigh backscattering-based distributed fiber optic sensing technology is well known and widely used for large-scale structural health monitoring. Inspired by the Rayleigh backscattering-based sensing methodology on an optical fiber, in this paper, we present a sensing concept based on the random inhomogeneities on a coaxial cable. As an analogy of Rayleigh backscattering along an optical fiber length, “backscattering” also exists from a commercial coaxial cable due to its inherent defects along a cable length which induce a local variation (i.e., impedance mismatch). This is because of the irregular microscopic structures of the inner/outer conductors, and the inhomogeneous density or permittivity of the inner dielectrics after the cables are manufactured. The accumulated backscattered signals along the coaxial cable can be obtained using frequency-domain reflectometry. By analyzing the shift in the local backscattered signal, the local environmental perturbations (e.g., local strain or temperature) can be determined, so that truly distributed sensing capability using a coaxial cable can be achieved. To verify the proposed concept, an intact and commercial coaxial cable was demonstrated for distributed temperature sensing. Compared with the existing coaxial cable-based distributed sensing technologies, the proposed sensing concept does not need extra modifications to the coaxial cable and offers a truly distributed sensing capability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189456
Volume :
68
Issue :
11
Database :
Academic Search Index
Journal :
IEEE Transactions on Instrumentation & Measurement
Publication Type :
Academic Journal
Accession number :
139076876
Full Text :
https://doi.org/10.1109/TIM.2018.2890327