KEYWORDS: Wavelets, Sensors, Time metrology, Signal to noise ratio, Data acquisition, Wavelet transforms, Interference (communication), Temperature metrology, Analytical research, Fiber optics sensors
A new method based on wavelet shrinkage is presented showing decreased measurement time for Brillouin optical timedomain
analysis (BOTDA) sensors. In BOTDA sensors the data acquired from measurements is contaminated with
multiple sources of noise requiring enhancement in order to extract the Brillouin gain spectrum (BGS) and find strain
and temperature. Conventional BOTDA sensors have used the very slow ensemble averaging technique which requires
hundreds of acquisitions of each time-domain waveform. In this paper, we enhance time-domain waveforms using
wavelet shrinkage before applying the ensemble averaging on them. This modification yields a significant reduction of
95% in the number of waveform acquisitions. Experimental results confirm the accuracy of the measurement based on
wavelet shrinkage and show that the proposed sensor has one of the shortest measurement times amongst BOTDA
sensors.
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