most citedMachine Learning-Driven Compensation for Non-Ideal Channels in AWG-Based FBG Interrogator

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physics.optics2025★ 3 cited

Machine Learning-Driven Compensation for Non-Ideal Channels in AWG-Based FBG Interrogator

Ivan A. Kazakov, Iana V. Kulichenko, Egor E. Kovalev +5

We present an experimental study of a fiber Bragg grating (FBG) interrogator based on a silicon oxynitride (SiON) photonic integrated arrayed waveguide grating (AWG). While AWG-bas…