2021
DOI: 10.3390/app11178189
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Fiber Bragg Grating-Based Optical Signal Processing: Review and Survey

Abstract: This paper reviews the state of the art of fiber Bragg gratings (FBGs) as analog all-optical signal processing units. Besides the intrinsic advantages of FBGs, such as relatively low cost, low losses, polarization insensitivity and full compatibility with fiber-optic systems, they have proven to deliver an exceptional flexibility to perform any complex band-limited spectral response by means of the variation of their physical parameters. These features have made FBGs an ideal platform for the development of al… Show more

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Cited by 8 publications
(4 citation statements)
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References 98 publications
(210 reference statements)
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“…This includes addressing the coupling of temperature and strain, electrolyte RI, and other influencing factors, such as the solid electrolyte layer versus the electrochemical interfacial layers. (2) Effective signal processing techniques can significantly reduce the impact of noise on optical signals, thereby enhancing the accuracy of battery condition measurements [142][143][144][145][146][147][148]. For instance, the Activation Function Dynamic Averaging (AFDA) algorithm outperforms the Frequency Domain Dynamic Averaging (FDDA) algorithm by processing signals eight times faster and improving the SNR by 3.7 dB independently, and by 10.8 dB when combined with MA-MD [143].…”
Section: Challenges and Outlooksmentioning
confidence: 99%
See 1 more Smart Citation
“…This includes addressing the coupling of temperature and strain, electrolyte RI, and other influencing factors, such as the solid electrolyte layer versus the electrochemical interfacial layers. (2) Effective signal processing techniques can significantly reduce the impact of noise on optical signals, thereby enhancing the accuracy of battery condition measurements [142][143][144][145][146][147][148]. For instance, the Activation Function Dynamic Averaging (AFDA) algorithm outperforms the Frequency Domain Dynamic Averaging (FDDA) algorithm by processing signals eight times faster and improving the SNR by 3.7 dB independently, and by 10.8 dB when combined with MA-MD [143].…”
Section: Challenges and Outlooksmentioning
confidence: 99%
“…Additionally, a nonlinear distortion correction algorithm can rectify charge coupled device (CCD) measurement spectra, eliminating errors that may arise during various Time of INTegration (TINT) measurements [142]. Furthermore, a fiber grating filter is incorporated to enhance the overall signal processing capabilities [144]. (3) In addition, advanced algorithms and models based on a large number of monitoring data are crucial for the real-time evaluation and prediction of battery SOC, SOH, and RUL in fiber optic sensing battery monitoring [149][150][151][152][153][154].…”
Section: Challenges and Outlooksmentioning
confidence: 99%
“…Fiber optical filters play a crucial role in communication systems [16], particularly in wavelength-division multiplexing (WDM). They are also widely employed in spectroscopy [17] and fiber optic sensing [18,19]. There are two main types of commercially available fiber-based filters, namely fiber Bragg grating (FBG) filters and long-period grating (LPG) filters, both inscribed in the core of a single-mode fiber (SMF).…”
Section: Introductionmentioning
confidence: 99%
“…This is achieved by using two LPGs in series, facilitating the coupling of resonant light from the fiber core into the cladding and subsequently back into the core [17]. Nevertheless, these devices are predominantly manufactured using silica fiber [18][19][20]. In recent years, substantial research efforts have been directed towards the development of Fiber Bragg Grating (FBG) filters, exploring alternative materials and techniques [13,14,21,22].…”
Section: Introductionmentioning
confidence: 99%

Plastic Optical Fiber Spectral Filter Based on in-Line Holes

Mora-Nuñez,
Santiago-Hernández,
Bravo-Medina
et al. 2024
Preprint