Abstract
This paper reports on a new mechanism to decrease the number of averages
and, consequently, the measurement time of Brillouin optical time-domain
analysis (BOTDA) sensors using wavelet shrinkage techniques. Two different
wavelet shrinkage techniques, VisuShrink and SureShrink, are applied to denoise signals acquired from
measurements in BOTDA sensors. The conventional method to denoise signals in
BOTDA sensors is ensemble averaging. Ensemble averaging is a time consuming
technique, as it requires many acquisitions of signals to provide an
acceptable SNR. To reduce the number of acquisitions, the setup of the BOTDA
sensor is modified to denoise acquired signals using VisuShrink or SureShrink before applying ensemble
averaging. Experimental results show a significant reduction in the number
of averages required to provide an accurate measurement, and consequently, a
substantial saving in the measurement time of the sensor. It has been shown
that the combination of ensemble averaging with VisuShrink or SureShrink reduces the measurement
time of the sensor up to 90%. This reduction in the measurement time enables
the implementation of dynamic and fast measurements with BODTA sensors and
opens opportunities to target a new range of applications.
© 2011 IEEE
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