Abstract
Fiber optic interferometry is a common architecture in many optical
sensing strategies and typically requires a demodulation scheme for phase
(signal) extraction. For sensing applications, signal-to-noise and other statistical
metrics are of great importance in characterizing system performance. In the
context of a specific demodulation algorithm employing three-channel inputs,
we analytically compute a probability density function of the demodulator
output noise, given an arbitrary distribution of input intensity noise and
arbitrary noise correlation among the three channels. We compare the analytical
formulations with previously validated simulation data from a fiber Bragg
grating sensor system, and we find excellent agreement within the specific
example of Gaussian input noise.
© 2011 IEEE
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription