Online polarization error suppressed optical vector analyzer based on Bayesian optimization

An optical vector analyzer (OVA) based on orthogonal polarization interrogation and polarization diversity detection is widely used to measure an optical device's loss, delay, or polarization-dependent features. Polarization misalignment is the OVA's primary error source. Conventional offl...

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Bibliographic Details
Published in:Optics letters 2023-04, Vol.48 (8), p.2174-2177
Main Authors: Huang, Mingyang, Yu, Zhangjun, Li, Peijiong, Yang, Jun, Wen, Kunhua, Xu, Pengbai, Wang, Yuncai, Qin, Yuwen
Format: Article
Language:English
Subjects:
Alignment
Bayesian analysis
Error analysis
Interrogation
Misalignment
Optimization
Polarization
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Description
Summary:An optical vector analyzer (OVA) based on orthogonal polarization interrogation and polarization diversity detection is widely used to measure an optical device's loss, delay, or polarization-dependent features. Polarization misalignment is the OVA's primary error source. Conventional offline polarization alignment using a calibrator greatly reduces the measurement reliability and efficiency. In this Letter, we propose an online polarization error suppression method using Bayesian optimization. Our measurement results are verified by a commercial OVA instrument that uses the offline alignment method. The OVA featuring online error suppression will be widely used in the production of optical devices, not just in the laboratory.
ISSN:0146-9592
1539-4794
DOI:10.1364/OL.488332