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We report our recent studies on the use of Neural Networks to process the measured Brillouin gain spectrum (BGS) from Brillouin Optical Time Domain Analyzer (BOTDA) and extract temperature information along fiber under test (FUT). Artificial Neural Network (ANN) is trained with ideal Lorentizian BGS before it is used for temperature extraction. Its performance is evaluated by comparison to conventional...
Distributed fiber-optic sensors employ the conventional fiber as the sensing medium and allow all locations along the optical fiber to be measured simultaneously. Thus the sensing scheme provides an efficient way of simultaneously achieving multi-points sensing with a convenient and low-cost configuration. One of the most popular technologies that enables distributed sensing is based on Brillouin...
fast distributed Brillouin optical time domain analyzer (BOTDA) is proposed and experimentally demonstrated based on coherent detection of digital optical frequency comb (DOFC) probe signal. The phase shift of each frequency tone induced by Brillouin interaction, corresponding to the Brillouin Phase Spectrum (BPS), is simultaneously measured in a single data acquisition without averaging process....
We have proposed and experimentally demonstrated a configuration of coherent BOTDA using optical phase-and polarization-diversity heterodyne detection and embedded digital signal processing (DSP). With the unwanted probe sideband and Rayleigh scattered noise eliminated by stable electrical filtering, the in-phase and quadrature-phase heterodyne sensing signals in both x- and y-polarizations are received...
A novel setup for coherent-detection-assisted Brillouin optical time domain analysis (BOTDA) is proposed and demonstrated. Performance enhancement is enabled by a power-controllable local oscillator (LO) generated using single-side-band (SSB) modulation. Through employing a commercial coherent receiver and polarization diversity scheme, the Brillouin gain traces carried on a stable intermediate frequency...
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