Signal to Noise Improvement Ratio of TDM-FBG Sensor Based on Golay Complementary Codes

Ku Nur Adzmina Ku Hassan, Mohamed Elgaud, Mohd Sukor Su'ait, Ahmad Ashrif A Bakar, Mohd Saiful Dzulkefly Zan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose and experimentally validate the utilization of the unique autocorrelation properties of Golay complementary codes (GCC) to enhance the overall performance of a time division multiplexed fiber Bragg grating (TDM-FBG) sensor. An FBG sensor located after 4.5 km of fiber, is interrogated by encoding the narrowband laser beam with a stream of non- return-to-zero pulses. We have found that, the reflected back FBG traces could be decoded correctly with the same spatial characteristics of the single pulse transmission, confirming the successful demonstration of the coded TDM-FBG sensor. The results also confirm the theoretical approach of the signal-to-noise ratio improvement dependency on the code length, in which the maximum improvement of around 4 dB has been achieved by using 32 bits GCC. Furthermore, under the same measurement conditions, the results show more than 6 times faster measurements than the 4 bits case.

Original languageEnglish
Title of host publication2018 IEEE 7th International Conference on Photonics, ICP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538611876
DOIs
Publication statusPublished - 12 Nov 2018
Event7th IEEE International Conference on Photonics, ICP 2018 - Langkawi, Kedah, Malaysia
Duration: 9 Apr 201811 Apr 2018

Other

Other7th IEEE International Conference on Photonics, ICP 2018
CountryMalaysia
CityLangkawi, Kedah
Period9/4/1811/4/18

Fingerprint

Fiber Bragg gratings
Bragg gratings
division
fibers
sensors
Sensors
pulses
Autocorrelation
autocorrelation
Laser beams
narrowband
Signal to noise ratio
coding
signal to noise ratios
Demonstrations
laser beams
Fibers

Keywords

  • Distributed fiber sensor
  • Golay complementary pairs
  • TDM-FBG

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

Cite this

Hassan, K. N. A. K., Elgaud, M., Su'ait, M. S., A Bakar, A. A., & Zan, M. S. D. (2018). Signal to Noise Improvement Ratio of TDM-FBG Sensor Based on Golay Complementary Codes. In 2018 IEEE 7th International Conference on Photonics, ICP 2018 [8533179] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICP.2018.8533179

Signal to Noise Improvement Ratio of TDM-FBG Sensor Based on Golay Complementary Codes. / Hassan, Ku Nur Adzmina Ku; Elgaud, Mohamed; Su'ait, Mohd Sukor; A Bakar, Ahmad Ashrif; Zan, Mohd Saiful Dzulkefly.

2018 IEEE 7th International Conference on Photonics, ICP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8533179.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hassan, KNAK, Elgaud, M, Su'ait, MS, A Bakar, AA & Zan, MSD 2018, Signal to Noise Improvement Ratio of TDM-FBG Sensor Based on Golay Complementary Codes. in 2018 IEEE 7th International Conference on Photonics, ICP 2018., 8533179, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Photonics, ICP 2018, Langkawi, Kedah, Malaysia, 9/4/18. https://doi.org/10.1109/ICP.2018.8533179
Hassan KNAK, Elgaud M, Su'ait MS, A Bakar AA, Zan MSD. Signal to Noise Improvement Ratio of TDM-FBG Sensor Based on Golay Complementary Codes. In 2018 IEEE 7th International Conference on Photonics, ICP 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8533179 https://doi.org/10.1109/ICP.2018.8533179
Hassan, Ku Nur Adzmina Ku ; Elgaud, Mohamed ; Su'ait, Mohd Sukor ; A Bakar, Ahmad Ashrif ; Zan, Mohd Saiful Dzulkefly. / Signal to Noise Improvement Ratio of TDM-FBG Sensor Based on Golay Complementary Codes. 2018 IEEE 7th International Conference on Photonics, ICP 2018. Institute of Electrical and Electronics Engineers Inc., 2018.
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