KEYWORDS: Fiber Bragg gratings, Denoising, Sensing systems, Signal to noise ratio, Wavelets, Wavelength division multiplexing, Time division multiplexing, Temperature metrology, Random lasers, Light
In this paper, a novel fiber Bragg grating (FBG) sensing system is proposed with large capacity and long transmission
distance to achieve multi-parameter measurements. Record system performances are achieved via the use of high-order
random lasing and remote optical pumping amplifications as well as the combination of time-division multiplexing and
wavelength-division multiplexing technologies. The experimental results show that the sensing distance can reach 150km
with single-end amplification and the optical signal-to-noise ratio (OSNR) is >4dB with good linearity of 0.9992 for 308
FBGs. We also proposed a new denoising method based on deep-learning, and the OSNR is enhanced to 10.2dB from
4.1dB, which is much better than the wavelet and empirical mode decomposition (EMD) methods reported, ensuring the
high accuracy of the center wavelength detection with deep-learning denoising correspondingly.
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