Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent Atmosphere
As laser beams propagate through free space, power fluctuation occurs due to atmospheric turbulence, which significantly increases the bit error rate of free-space optical communication. If the precise prediction of power fluctuations can be achieved, it will be of great benefit for improving commun...
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| Format: | Article |
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MDPI AG
2024-11-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/11/12/1108 |
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| author | Zhihao Wan Jiayi Zhu Cheng Huang Zhimin He Jun Zeng Fuchang Chen Chaoqun Yu Yan Li Huanting Chen Yongtao Zhang Jixiong Pu Huichuan Lin |
| author_facet | Zhihao Wan Jiayi Zhu Cheng Huang Zhimin He Jun Zeng Fuchang Chen Chaoqun Yu Yan Li Huanting Chen Yongtao Zhang Jixiong Pu Huichuan Lin |
| author_sort | Zhihao Wan |
| collection | DOAJ |
| description | As laser beams propagate through free space, power fluctuation occurs due to atmospheric turbulence, which significantly increases the bit error rate of free-space optical communication. If the precise prediction of power fluctuations can be achieved, it will be of great benefit for improving communication efficiency. To achieve this goal, this paper proposes a novel Time Series Long Short-Term Memory Fully Connected Processing Network (TSLSTMFCPN), which consists of two long short-term memory (LSTM) network layers and a fully connected layer, for predicting the power fluctuations of laser beams caused by atmospheric turbulence. The experimental results show that the mean absolute percentage error of the TSLSTMFCPN in predicting laser power fluctuations is only 1.2%. This result indicates that this model can accurately predict the laser power fluctuations caused by atmospheric turbulence. Our results are expected to be applied in free-space optical communication systems and imaging laser radar system. |
| format | Article |
| id | doaj-art-c0c0b00a3d234b3d9bc0eacc392c50f1 |
| institution | DOAJ |
| issn | 2304-6732 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-c0c0b00a3d234b3d9bc0eacc392c50f12025-08-20T02:43:54ZengMDPI AGPhotonics2304-67322024-11-011112110810.3390/photonics11121108Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent AtmosphereZhihao Wan0Jiayi Zhu1Cheng Huang2Zhimin He3Jun Zeng4Fuchang Chen5Chaoqun Yu6Yan Li7Huanting Chen8Yongtao Zhang9Jixiong Pu10Huichuan Lin11Key Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaKey Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, ChinaAs laser beams propagate through free space, power fluctuation occurs due to atmospheric turbulence, which significantly increases the bit error rate of free-space optical communication. If the precise prediction of power fluctuations can be achieved, it will be of great benefit for improving communication efficiency. To achieve this goal, this paper proposes a novel Time Series Long Short-Term Memory Fully Connected Processing Network (TSLSTMFCPN), which consists of two long short-term memory (LSTM) network layers and a fully connected layer, for predicting the power fluctuations of laser beams caused by atmospheric turbulence. The experimental results show that the mean absolute percentage error of the TSLSTMFCPN in predicting laser power fluctuations is only 1.2%. This result indicates that this model can accurately predict the laser power fluctuations caused by atmospheric turbulence. Our results are expected to be applied in free-space optical communication systems and imaging laser radar system.https://www.mdpi.com/2304-6732/11/12/1108atmosphere turbulencelaser propagationpower predictionlong short-term memory (LSTM) network |
| spellingShingle | Zhihao Wan Jiayi Zhu Cheng Huang Zhimin He Jun Zeng Fuchang Chen Chaoqun Yu Yan Li Huanting Chen Yongtao Zhang Jixiong Pu Huichuan Lin Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent Atmosphere Photonics atmosphere turbulence laser propagation power prediction long short-term memory (LSTM) network |
| title | Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent Atmosphere |
| title_full | Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent Atmosphere |
| title_fullStr | Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent Atmosphere |
| title_full_unstemmed | Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent Atmosphere |
| title_short | Prediction of Power Fluctuations of Gaussian Beams After Transmission Through Turbulent Atmosphere |
| title_sort | prediction of power fluctuations of gaussian beams after transmission through turbulent atmosphere |
| topic | atmosphere turbulence laser propagation power prediction long short-term memory (LSTM) network |
| url | https://www.mdpi.com/2304-6732/11/12/1108 |
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