Identification of Orbital Angular Momentum by Support Vector Machine in Ocean Turbulence
With the advancement of underwater communication technology, the traditional modulation dimension has been introduced, developed and utilized. In addition, orbital angular momentum (OAM) is utilized as the modulation dimension for optical underwater communication to obtain larger spectrum resources....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/10/9/1284 |
| _version_ | 1797486329002459136 |
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| author | Xiaoji Li Jiemei Huang Leiming Sun |
| author_facet | Xiaoji Li Jiemei Huang Leiming Sun |
| author_sort | Xiaoji Li |
| collection | DOAJ |
| description | With the advancement of underwater communication technology, the traditional modulation dimension has been introduced, developed and utilized. In addition, orbital angular momentum (OAM) is utilized as the modulation dimension for optical underwater communication to obtain larger spectrum resources. The OAM features are extracted using a histogram of oriented gradient and trained using the support vector machine method with a gradient direction histogram feature. The topological charge value of the OAM was used to identify the classification labels, and the ocean turbulence caused by different temperatures and salinity were analyzed. Experimentation results showed that the recognition accuracy for the OAM under the Laguerre–Gaussian beam rates of 1~5, 1~6, 1~7, 1~8, 1~9, and 1~10 was 98.93%, 98.89%, 97.33%, 96.66%, 95.40%, and 95.33%, respectively. The proposed method achieved a high recognition accuracy and performed efficiently under strong turbulence. Our research explored a new technique that provides a new idea for the demodulation of OAM in optical underwater communication. |
| first_indexed | 2024-03-09T23:32:36Z |
| format | Article |
| id | doaj.art-dd6959d280d9449aab6a767cf57e03ce |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T23:32:36Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-dd6959d280d9449aab6a767cf57e03ce2023-11-23T17:07:47ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-09-01109128410.3390/jmse10091284Identification of Orbital Angular Momentum by Support Vector Machine in Ocean TurbulenceXiaoji Li0Jiemei Huang1Leiming Sun2Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin 541004, ChinaKey Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin 541004, ChinaKey Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin 541004, ChinaWith the advancement of underwater communication technology, the traditional modulation dimension has been introduced, developed and utilized. In addition, orbital angular momentum (OAM) is utilized as the modulation dimension for optical underwater communication to obtain larger spectrum resources. The OAM features are extracted using a histogram of oriented gradient and trained using the support vector machine method with a gradient direction histogram feature. The topological charge value of the OAM was used to identify the classification labels, and the ocean turbulence caused by different temperatures and salinity were analyzed. Experimentation results showed that the recognition accuracy for the OAM under the Laguerre–Gaussian beam rates of 1~5, 1~6, 1~7, 1~8, 1~9, and 1~10 was 98.93%, 98.89%, 97.33%, 96.66%, 95.40%, and 95.33%, respectively. The proposed method achieved a high recognition accuracy and performed efficiently under strong turbulence. Our research explored a new technique that provides a new idea for the demodulation of OAM in optical underwater communication.https://www.mdpi.com/2077-1312/10/9/1284support vector machineorbital angular momentum modespace phase diagram |
| spellingShingle | Xiaoji Li Jiemei Huang Leiming Sun Identification of Orbital Angular Momentum by Support Vector Machine in Ocean Turbulence Journal of Marine Science and Engineering support vector machine orbital angular momentum mode space phase diagram |
| title | Identification of Orbital Angular Momentum by Support Vector Machine in Ocean Turbulence |
| title_full | Identification of Orbital Angular Momentum by Support Vector Machine in Ocean Turbulence |
| title_fullStr | Identification of Orbital Angular Momentum by Support Vector Machine in Ocean Turbulence |
| title_full_unstemmed | Identification of Orbital Angular Momentum by Support Vector Machine in Ocean Turbulence |
| title_short | Identification of Orbital Angular Momentum by Support Vector Machine in Ocean Turbulence |
| title_sort | identification of orbital angular momentum by support vector machine in ocean turbulence |
| topic | support vector machine orbital angular momentum mode space phase diagram |
| url | https://www.mdpi.com/2077-1312/10/9/1284 |
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