Brillouin Gain Spectrum Characterization in Perfluorinated Graded-Index Polymer Optical Fiber With 62.5-$\mu$m Core Diameter

2011 ◽  
Vol 23 (24) ◽  
pp. 1863-1865 ◽  
Author(s):  
Yosuke Mizuno ◽  
Takaaki Ishigure ◽  
Kentaro Nakamura
2014 ◽  
Vol 115 (17) ◽  
pp. 173108 ◽  
Author(s):  
Neisei Hayashi ◽  
Hideyuki Fukuda ◽  
Yosuke Mizuno ◽  
Kentaro Nakamura

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1166
Author(s):  
Bin Liu ◽  
Jianping He ◽  
Shihai Zhang ◽  
Yinping Zhang ◽  
Jianan Yu ◽  
...  

Brillouin frequency shift (BFS) of distributed optical fiber sensor is extracted from the Brillouin gain spectrum (BGS), which is often characterized by Lorenz type. However, in the case of complex stress and optical fiber self damage, the BGS will deviate from Lorenz type and be asymmetric, which leads to the extraction error of BFS. In order to enhance the extraction accuracy of BFS, the Lorenz local single peak fitting algorithm was developed to fit the Brillouin gain spectrum curve, which can make the BSG symmetrical with respect to the Brillouin center frequency shift. One temperature test of a fiber-reinforced polymer (FRP) packaged sensor whose BSG curve is asymmetric was conducted to verify the idea. The results show that the local region curve of BSG processed by the developed algorithm has good symmetry, and the temperature measurement accuracy obtained by the developed algorithm is higher than that directly measured by demodulation equipment. Comparison with the reference temperature, the relative measurement error measured by the developed algorithm and BOTDA are within 4% and 8%, respectively.


2005 ◽  
Vol 23 (6) ◽  
pp. 2062-2072 ◽  
Author(s):  
K. Makino ◽  
T. Nakamura ◽  
T. Ishigure ◽  
Y. Koike

Photonics ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 474
Author(s):  
Fen Xiao ◽  
Mingxing Lv ◽  
Xinwan Li

Brillouin scattering-based distributed optical fiber sensors have been successfully employed in various applications in recent decades, because of benefits such as small size, light weight, electromagnetic immunity, and continuous monitoring of temperature and strain. However, the data processing requirements for the Brillouin Gain Spectrum (BGS) restrict further improvement of monitoring performance and limit the application of real-time measurements. Studies using Feedforward Neural Network (FNN) to measure Brillouin Frequency Shift (BFS) have been performed in recent years to validate the possibility of improving measurement performance. In this work, a novel FNN that is 3 times faster than previous FNNs is proposed to improve BFS measurement performance. More specifically, after the original Brillouin Gain Spectrum (BGS) is preprocessed by Principal Component Analysis (PCA), the data are fed into the Feedforward Neural Network (FNN) to predict BFS.


2006 ◽  
Vol 14 (4) ◽  
Author(s):  
P. Lallana ◽  
C. Vázquez ◽  
J. Pena ◽  
R. Vergaz

AbstractIn this work, different novel 3×1 multiplexer structures for being used in polymer optical fiber networks are proposed. Designs are compact, scalable, and of low consumption, capable of operating in a large wavelength range simultaneously 660, 850, and 1300 nm, due to the use of nematic liquid crystal cells. Light that comes from each input port is handled independently and eight operation modes are possible.Control electronics has been made using a programmable integrated circuit. Electronic system makes available the managing of the optical stage using a computer. An additional four optical sensors have been included for allowing the optical status checking.Finally, a polarization independent multiplexer has been implemented and tested. Insertion losses less than 4 dB and isolation better than 23 dB have been measured. In addition, 30-ms and 15-ms setup and rise times have been obtained. The proposed multiplexer can be used in any polymer optical fiber network, even in perfluorinated graded index one, and it can be specially useful in optical sensor networks, or in coarse wavelength division multiplexing networks.


2019 ◽  
Vol 12 (8) ◽  
pp. 082007
Author(s):  
Yosuke Mizuno ◽  
Tianyi Ma ◽  
Ryo Ishikawa ◽  
Heeyoung Lee ◽  
Antreas Theodosiou ◽  
...  

2007 ◽  
Vol 91 (19) ◽  
pp. 191119 ◽  
Author(s):  
R. Lwin ◽  
G. Barton ◽  
L. Harvey ◽  
J. Harvey ◽  
D. Hirst ◽  
...  

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