Abstract
Interferometry is a common technique used in fiber sensing that requires
a demodulation algorithm to extract the signal of interest. Of great interest
for sensor characterization is the performance of the demodulation scheme
under the influence of input noise. Here we consider correlated, biased intensity
noise corrupting an interferometer. We analytically compute a probability
density function of this output noise only and use this to compute low-order
statistical moments of the output noise. We compare the analytical formulations
with simulated data from a representative demodulation scheme used in a currently
existing fiber Bragg grating sensor system and find excellent agreement within
the example of Gaussian input noise.
© 2008 IEEE
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