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Digital Filtering Techniques for Performance Improvement of Golay Coded TDM-FBG Sensor.

Authors
  • Elgaud, Mohamed M1, 2
  • Zan, Mohd Saiful Dzulkefly1
  • Abushagur, Abdulfatah A G1, 3
  • Hamzah, Abdulwahhab E1
  • Mokhtar, Mohd Hadri Hafiz1
  • Arsad, Norhana1
  • A Bakar, Ahmad Ashrif1
  • 1 Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia. , (Malaysia)
  • 2 College of Electrical and Electronic Technology, Benghazi 0021861, Libya. , (Libya)
  • 3 Department of Electrical and Electronic Engineering, Faculty of Engineering, Gharyan University, Gharyan 0021841, Libya. , (Libya)
Type
Published Article
Journal
Sensors
Publisher
MDPI AG
Publication Date
Jun 23, 2021
Volume
21
Issue
13
Identifiers
DOI: 10.3390/s21134299
PMID: 34201845
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

For almost a half-decade, the unique autocorrelation properties of Golay complementary pairs (GCP) have added a significant value to the key performance of conventional time-domain multiplexed fiber Bragg grating sensors (TDM-FBGs). However, the employment of the unipolar form of Golay coded TDM-FBG has suffered from several performance flaws, such as limited improvement of the signal-to-noise ratio (SNIR), noisy backgrounds, and distorted signals. Therefore, we propose and experimentally implement several digital filtering techniques to mitigate such limitations. Moving averages (MA), Savitzky-Golay (SG), and moving median (MM) filters were deployed to process the signals from two low reflectance FBG sensors located after around 16 km of fiber. The first part of the experiment discussed the sole deployment of Golay codes from 4 bits to 256 bits in the TDM-FBG sensor. As a result, the total SNIR of around 8.8 dB was experimentally confirmed for the longest 256-bit code. Furthermore, the individual deployment of MA, MM, and SG filters within the mentioned decoded sequences secured a further significant increase in SNIR of around 4, 3.5, and 3 dB, respectively. Thus, the deployment of the filtering technique alone resulted in at least four times faster measurement time (equivalent to 3 dB SNIR). Overall, the experimental analysis confirmed that MM outperformed the other two techniques in better signal shape, fastest signal transition time, comparable SNIR, and capability to maintain high spatial resolution.

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