Dilated convolutional neural networks for fiber Bragg grating signal demodulation

Li，Baocheng1,2; Tan，Zhi Wei1; Shum，Perry Ping2,3; Wang，Chenlu1,2; Zheng，Yu1,2; Wong，Liang Jie1

2021-03-01

10.1364/OE.413443

OPTICS EXPRESS   影响因子和分区

1094-4087

1094-4087

In quasi-distributed fiber Bragg grating (FBG) sensor networks, challenges are known to arise when signals are highly overlapped and thus hard to separate, giving rise to substantial error in signal demodulation. We propose a multi-peak detection deep learning model based on a dilated convolutional neural network (CNN) that overcomes this problem, achieving extremely low error in signal demodulation even for highly overlapped signals. We show that our FBG demodulation scheme enhances the network multiplexing capability, detection accuracy and detection time of the FBG sensor network, achieving a root-mean-square (RMS) error in peak wavelength determination of < 0.05 pm, with a demodulation time of 15 ms for two signals. Our demodulation scheme is also robust against noise, achieving an RMS error of < 0.47 pm even with a signal-to-noise ratio as low as 15 dB. A comparison on our high-performance computer with existing signal demodulation methods shows the superiority in RMS error of our dilated CNN implementation. Our findings pave the way to faster and more accurate signal demodulation methods, and testify to the substantial promise of neural network algorithms in signal demodulation problems.

SCI ; EI

英语

其他

Nanyang Technological University (NSFC)[11774102]

Optics

Optics

WOS:000624968100065

OPTICAL SOC AMER

20210909977912

Convolution ; Deep learning ; Demodulation ; Error detection ; Fiber Bragg gratings ; Optical variables measurement ; Sensor networks ; Signal to noise ratio

Information Theory and Signal Processing:716.1 ; Optical Variables Measurements:941.4

PHYSICS

2-s2.0-85101405419

Scopus

1.School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore,50 Nanyang Avenue,639798,Singapore
2.CINTRA CNRS,NTU/Thales,UMI 3288,Singapore,50 Nanyang Drive,637553,Singapore
3.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,China

Li，Baocheng,Tan，Zhi Wei,Shum，Perry Ping,et al. Dilated convolutional neural networks for fiber Bragg grating signal demodulation[J]. OPTICS EXPRESS,2021,29(5):7110-7123.

Li，Baocheng,Tan，Zhi Wei,Shum，Perry Ping,Wang，Chenlu,Zheng，Yu,&Wong，Liang Jie.(2021).Dilated convolutional neural networks for fiber Bragg grating signal demodulation.OPTICS EXPRESS,29(5),7110-7123.

Li，Baocheng,et al."Dilated convolutional neural networks for fiber Bragg grating signal demodulation".OPTICS EXPRESS 29.5(2021):7110-7123.