Аннотации:
The Karhunen-Loeve Transform (KLT) is applied to accurate detection of
optical fiber sensors in the spectral domain. By processing an optical spectrum, although
coarsely sampled, through the KLT, and subsequently processing the obtained eigenvalues,
it is possible to decode a plurality of optical sensor results. The KLT returns higher
accuracy than other demodulation techniques, despite coarse sampling, and exhibits higher
resilience to noise. Three case studies of KLT-based processing are presented, representing
most of the current challenges in optical fiber sensing: (1) demodulation of individual
sensors, such as Fiber Bragg Gratings (FBGs) and Fabry-Perot Interferometers (FPIs);
(2) demodulation of dual (FBG/FPI) sensors; (3) application of reverse KLT to isolate
different sensors operating on the same spectrum. A simulative outline is provided to
demonstrate the KLT operation and estimate performance; a brief experimental section is
also provided to validate accurate FBG and FPI decoding.