Signal Processing Approach for Spectral Interferometry Immune to \lambda /2 Errors

The paper develops a least-squares fitting approach for demodulating optical path difference (OPD) in spectral interferometric sensors. The proposed signal processing approach enables to substantially decrease the probability of abrupt λ/2 demodulation errors. This is achieved by excluding from anal...

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Bibliographic Details
Published in:IEEE photonics technology letters 2019-09, Vol.31 (18), p.1483-1486
Main Authors: Ushakov, Nikolai A., Liokumovich, Leonid B.
Format: Article
Language:English
Subjects:
error suppression
Estimation
Fabry–Perot
least-squaress methods
Optical fiber sensors
Optical fibers
Optical interferometry
Signal to noise ratio
spectral interferometry
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Summary:The paper develops a least-squares fitting approach for demodulating optical path difference (OPD) in spectral interferometric sensors. The proposed signal processing approach enables to substantially decrease the probability of abrupt λ/2 demodulation errors. This is achieved by excluding from analysis a part of spectrum samples, providing less information, responsible for distinguishing the spectra of interferometrs, which OPDs differ at λ/2. The amount of excluded samples is controlled by a numeric parameter. The dependency of optimal value of signal processing parameter on signal to noise ratio (SNR) of optical spectrum is derived. The proposed signal processing approach is tested experimentally, it's efficiency in suppressing the λ/2 demodulation errors and optimal parameter dependency on SNR were confirmed. It was demonstrated to provide a 4 dB effort in terms of minimal SNR providing error-free OPD demodulation.
ISSN:1041-1135
1941-0174
DOI:10.1109/LPT.2019.2934093