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Adaptive optical phase estimation for real-time sensing of fast-varying signals
Optical phase tracking is an important technique for use in high-precision measurement applications, including optical frequency metrology and ground- or space-based gravitational wave observation, and coherent optical communications. When measuring fast-varying real-time signals, the response time...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758142/ https://www.ncbi.nlm.nih.gov/pubmed/36526716 http://dx.doi.org/10.1038/s41598-022-26329-1 |
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author | Wang, Liu Xie, Fang Zhang, Yong Xiao, Min Liu, Fang |
author_facet | Wang, Liu Xie, Fang Zhang, Yong Xiao, Min Liu, Fang |
author_sort | Wang, Liu |
collection | PubMed |
description | Optical phase tracking is an important technique for use in high-precision measurement applications, including optical frequency metrology and ground- or space-based gravitational wave observation, and coherent optical communications. When measuring fast-varying real-time signals, the response time limitations of the measurement system’s phase-locked loop cause the best operating point to be mismatched, and the measurement then becomes nonlinear. To make these measurements possible, this work proposes a time delay loop that theoretically enables optimal homodyne detection. When the time delay loop is combined with an extended Kalman filter, the estimated measurement accuracy is improved by 2.4 dB when tracking a fast-varying random signal with a velocity of 10(7) rad/s. This phase estimation improvement also increases as the interference angle deviates further from the optimal measurement point. The proposed method shows potential for use in real-time sensing and measurement applications. |
format | Online Article Text |
id | pubmed-9758142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97581422022-12-18 Adaptive optical phase estimation for real-time sensing of fast-varying signals Wang, Liu Xie, Fang Zhang, Yong Xiao, Min Liu, Fang Sci Rep Article Optical phase tracking is an important technique for use in high-precision measurement applications, including optical frequency metrology and ground- or space-based gravitational wave observation, and coherent optical communications. When measuring fast-varying real-time signals, the response time limitations of the measurement system’s phase-locked loop cause the best operating point to be mismatched, and the measurement then becomes nonlinear. To make these measurements possible, this work proposes a time delay loop that theoretically enables optimal homodyne detection. When the time delay loop is combined with an extended Kalman filter, the estimated measurement accuracy is improved by 2.4 dB when tracking a fast-varying random signal with a velocity of 10(7) rad/s. This phase estimation improvement also increases as the interference angle deviates further from the optimal measurement point. The proposed method shows potential for use in real-time sensing and measurement applications. Nature Publishing Group UK 2022-12-16 /pmc/articles/PMC9758142/ /pubmed/36526716 http://dx.doi.org/10.1038/s41598-022-26329-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Liu Xie, Fang Zhang, Yong Xiao, Min Liu, Fang Adaptive optical phase estimation for real-time sensing of fast-varying signals |
title | Adaptive optical phase estimation for real-time sensing of fast-varying signals |
title_full | Adaptive optical phase estimation for real-time sensing of fast-varying signals |
title_fullStr | Adaptive optical phase estimation for real-time sensing of fast-varying signals |
title_full_unstemmed | Adaptive optical phase estimation for real-time sensing of fast-varying signals |
title_short | Adaptive optical phase estimation for real-time sensing of fast-varying signals |
title_sort | adaptive optical phase estimation for real-time sensing of fast-varying signals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758142/ https://www.ncbi.nlm.nih.gov/pubmed/36526716 http://dx.doi.org/10.1038/s41598-022-26329-1 |
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