Characterizing the structure of transmission matrix in lower dimensions
Multimode optical fibers are promising candidates for revolutionizing telecommunication because of high data rate and endoscopic applications because of the ability to capture similar information as single mode fibers but with much smaller footprint and hence lesser invasion. The major difficulty to...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/147279 |
| _version_ | 1826201039066365952 |
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| author | Ghosh, Irin |
| author2 | You, Sixian |
| author_facet | You, Sixian Ghosh, Irin |
| author_sort | Ghosh, Irin |
| collection | MIT |
| description | Multimode optical fibers are promising candidates for revolutionizing telecommunication because of high data rate and endoscopic applications because of the ability to capture similar information as single mode fibers but with much smaller footprint and hence lesser invasion. The major difficulty to be overcome is determining how the data transmitted through the fiber gets scrambled, which is described by the Transmission Matrix (TM) of the fiber. Methods so far have been successful in determining a good approximation of TM only for weakly deformed fibers. We will look into calibration-free, real-time methods to determine the TM of a fiber with flexibility in conformation. The proposed method is to find a lower dimensional representation of the TM which reduces the number of unknown parameters of the TMs for different fiber configurations, such that they can be determined in real time. |
| first_indexed | 2024-09-23T11:45:41Z |
| format | Thesis |
| id | mit-1721.1/147279 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:45:41Z |
| publishDate | 2023 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1472792023-01-20T03:37:12Z Characterizing the structure of transmission matrix in lower dimensions Ghosh, Irin You, Sixian Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Multimode optical fibers are promising candidates for revolutionizing telecommunication because of high data rate and endoscopic applications because of the ability to capture similar information as single mode fibers but with much smaller footprint and hence lesser invasion. The major difficulty to be overcome is determining how the data transmitted through the fiber gets scrambled, which is described by the Transmission Matrix (TM) of the fiber. Methods so far have been successful in determining a good approximation of TM only for weakly deformed fibers. We will look into calibration-free, real-time methods to determine the TM of a fiber with flexibility in conformation. The proposed method is to find a lower dimensional representation of the TM which reduces the number of unknown parameters of the TMs for different fiber configurations, such that they can be determined in real time. M.Eng. 2023-01-19T18:42:26Z 2023-01-19T18:42:26Z 2022-09 2022-09-16T20:24:41.660Z Thesis https://hdl.handle.net/1721.1/147279 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Ghosh, Irin Characterizing the structure of transmission matrix in lower dimensions |
| title | Characterizing the structure of transmission matrix in lower dimensions |
| title_full | Characterizing the structure of transmission matrix in lower dimensions |
| title_fullStr | Characterizing the structure of transmission matrix in lower dimensions |
| title_full_unstemmed | Characterizing the structure of transmission matrix in lower dimensions |
| title_short | Characterizing the structure of transmission matrix in lower dimensions |
| title_sort | characterizing the structure of transmission matrix in lower dimensions |
| url | https://hdl.handle.net/1721.1/147279 |
| work_keys_str_mv | AT ghoshirin characterizingthestructureoftransmissionmatrixinlowerdimensions |