Ng, Wai Pang, Lalam, Nageswara, Dai, Xuewu, Wu, Qiang, Fu, Yong Qing, Harrington, Peter, Gomes, Nathan J., Liu, Chao (2020) Integrating radio-over-fiber communication system and BOTDR sensor system. Sensors, 20 (8). E-ISSN 1424-8220. (doi:10.3390/s20082232) (KAR id:81042)
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Official URL: http://dx.doi.org/10.3390/s20082232 |
Abstract
In this paper, we propose and experimentally demonstrate for the first time, the integration of a radio-over-fiber (RoF) communication system and a Brillouin optical time-domain reflectometry (BOTDR) distributed sensor system using a single optical fiber link. In this proof-of-concept integrated system, the communication system is composed of three modulation formats of quadrature phase-shift keying (QPSK), 16-quadrature amplitude modulation (16-QAM) and 64-QAM, which are modulated onto an orthogonal frequency division multiplexing (OFDM) signal. Whereas, the BOTDR sensor system is used for strain and/or temperature monitoring over the fiber distance with a spatial resolution of 5 m using a 25 km single-mode silica fiber. The error vector magnitude (EVM) is analyzed in three modulation formats in the presence of various BOTDR input pump powers. Using QPSK modulation, optimized 18 dBm sensing and 10 dBm data power, the measured EVM values with and without bandpass filter are 3.5% and 14.5%, respectively. The proposed system demonstrates a low temperature measurement error (±0.49 °C at the end of 25 km) and acceptable EVM values, which were within the 3GPP requirements. The proposed integrated system can be effectively applied for practical applications, which significantly reduces the fiber infrastructure cost by effective usage of a single optical fiber link
Item Type: | Article |
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DOI/Identification number: | 10.3390/s20082232 |
Uncontrolled keywords: | radio-over-fiber (RoF); distributed fiber sensor; BOTDR |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5103.59 Optical communications |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Nathan Gomes |
Date Deposited: | 28 Apr 2020 18:22 UTC |
Last Modified: | 05 Nov 2024 12:46 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/81042 (The current URI for this page, for reference purposes) |
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