Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter
The optical trapping of micro-nano particles in a high vacuum has become a popular research platform in various frontier fields of physics because of its excellent isolation from the environment. The precise measurement of particle motion information is required to analyze and control particle motio...
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| Format: | Article |
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MDPI AG
2022-09-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/9/10/700 |
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| author | Shidong Xu Ming Chen Jianyu Yang Xingfan Chen Nan Li Huizhu Hu |
| author_facet | Shidong Xu Ming Chen Jianyu Yang Xingfan Chen Nan Li Huizhu Hu |
| author_sort | Shidong Xu |
| collection | DOAJ |
| description | The optical trapping of micro-nano particles in a high vacuum has become a popular research platform in various frontier fields of physics because of its excellent isolation from the environment. The precise measurement of particle motion information is required to analyze and control particle motion modes in traps. However, the detection accuracy is limited by measurement noise and coupling signals from other axes in microparticle optical traps. In this study, we use the Kalman filter to extract the real motion information of each axis under simulation conditions, and the results show that the Kalman filter performs well in noise suppression, improving the RMSE from 12.64 to 5.18 nm and enhancing the feedback cooling performance by approximately 27% through reducing the axes’ signal coupling ratio. We believe that as a solution to these challenges, the Kalman filter will bring a significant achievement to micrometer particle optical traps in vacuums. |
| first_indexed | 2024-03-09T19:33:32Z |
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| id | doaj.art-5092b6b4b36741ebbc8322aa82a3fd39 |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-09T19:33:32Z |
| publishDate | 2022-09-01 |
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| series | Photonics |
| spelling | doaj.art-5092b6b4b36741ebbc8322aa82a3fd392023-11-24T02:01:08ZengMDPI AGPhotonics2304-67322022-09-0191070010.3390/photonics9100700Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman FilterShidong Xu0Ming Chen1Jianyu Yang2Xingfan Chen3Nan Li4Huizhu Hu5State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, ChinaThe optical trapping of micro-nano particles in a high vacuum has become a popular research platform in various frontier fields of physics because of its excellent isolation from the environment. The precise measurement of particle motion information is required to analyze and control particle motion modes in traps. However, the detection accuracy is limited by measurement noise and coupling signals from other axes in microparticle optical traps. In this study, we use the Kalman filter to extract the real motion information of each axis under simulation conditions, and the results show that the Kalman filter performs well in noise suppression, improving the RMSE from 12.64 to 5.18 nm and enhancing the feedback cooling performance by approximately 27% through reducing the axes’ signal coupling ratio. We believe that as a solution to these challenges, the Kalman filter will bring a significant achievement to micrometer particle optical traps in vacuums.https://www.mdpi.com/2304-6732/9/10/700optical trapKalman filterfeedback coolingaxial signal decoupling |
| spellingShingle | Shidong Xu Ming Chen Jianyu Yang Xingfan Chen Nan Li Huizhu Hu Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter Photonics optical trap Kalman filter feedback cooling axial signal decoupling |
| title | Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter |
| title_full | Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter |
| title_fullStr | Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter |
| title_full_unstemmed | Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter |
| title_short | Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter |
| title_sort | detection optimization of an optically trapped microparticle in vacuum with kalman filter |
| topic | optical trap Kalman filter feedback cooling axial signal decoupling |
| url | https://www.mdpi.com/2304-6732/9/10/700 |
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