
Proceedings Paper
Noise propagation in a 3x3 optical demodulation scheme used for fiber Bragg grating interrogationFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
This work presents a statistical model for the propagation of noise through interferometric demodulation processes.
Using the case of a 3×3 passive digital demodulation algorithm, an exact transfer function and its
associated probability structure for intensity noise propagation through a fiber Bragg grating sensor interrogation
system is derived. This new model is generalized to any input noise probability structure and includes
the possibility of full or partial correlation among the demodulation input channels. This work then presents
results for the specific case of Gaussian intensity noise (with and without channel correlations) and shows explicit
interferometer phase influence on output noise statistical moments, which are important for signal-to-noise predictions.
The demodulators nonlinear transfer function is shown to induce output bias as well as either attenuate
or amplify output variance, depending upon the signal phase. Experimental data are provided to validate the
model. This model generalizes to support predicting output noise levels in Bragg grating-based sensing systems.
Paper Details
Date Published: 15 April 2011
PDF: 9 pages
Proc. SPIE 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011, 79820A (15 April 2011); doi: 10.1117/12.878694
Published in SPIE Proceedings Vol. 7982:
Smart Sensor Phenomena, Technology, Networks, and Systems 2011
Wolfgang Ecke; Kara J. Peters; Theodore E. Matikas, Editor(s)
PDF: 9 pages
Proc. SPIE 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011, 79820A (15 April 2011); doi: 10.1117/12.878694
Show Author Affiliations
Michael Todd, Univ. of California, San Diego (United States)
Published in SPIE Proceedings Vol. 7982:
Smart Sensor Phenomena, Technology, Networks, and Systems 2011
Wolfgang Ecke; Kara J. Peters; Theodore E. Matikas, Editor(s)
© SPIE. Terms of Use
