Adaptive optical phase estimation for real-time sensing of fast-varying signals
Abstract 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 respo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-26329-1 |
| _version_ | 1811198366355292160 |
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| author | Liu Wang Fang Xie Yong Zhang Min Xiao Fang Liu |
| author_facet | Liu Wang Fang Xie Yong Zhang Min Xiao Fang Liu |
| author_sort | Liu Wang |
| collection | DOAJ |
| description | Abstract 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 107 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. |
| first_indexed | 2024-04-12T01:29:33Z |
| format | Article |
| id | doaj.art-5e4d18ef73a849ee99b293eba95181e8 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-12T01:29:33Z |
| publishDate | 2022-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5e4d18ef73a849ee99b293eba95181e82022-12-22T03:53:31ZengNature PortfolioScientific Reports2045-23222022-12-011211810.1038/s41598-022-26329-1Adaptive optical phase estimation for real-time sensing of fast-varying signalsLiu Wang0Fang Xie1Yong Zhang2Min Xiao3Fang Liu4Department of Physics, Nanjing Tech UniversityDepartment of Physics, Nanjing Tech UniversityNational Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, and School of Physics, Nanjing UniversityNational Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, and School of Physics, Nanjing UniversityDepartment of Physics, Nanjing Tech UniversityAbstract 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 107 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.https://doi.org/10.1038/s41598-022-26329-1 |
| spellingShingle | Liu Wang Fang Xie Yong Zhang Min Xiao Fang Liu Adaptive optical phase estimation for real-time sensing of fast-varying signals Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-022-26329-1 |
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