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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.00736 |
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| _version_ | 1866913770175987712 |
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| author | Sorelli, Giacomo McDonald, Douglas Gladysz, Szymon |
| author_facet | Sorelli, Giacomo McDonald, Douglas Gladysz, Szymon |
| contents | We investigate the reconstruction of the transmission matrix of a time-evolving atmospheric channel with an online recursive optimization routine, using wave-optics simulations. We demonstrate that this estimation technique is able to keep up with the evolution of the channel and enables a significant improvement of communication-relevant quantities such as the total power transmitted through the channel, and the coupling of the received light into a single mode fiber. Moreover, we show that this approach is robust against measurement noise, and that it notably reduces the probability and duration of power outages, even in strong turbulence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_00736 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Online estimation of the transmission matrix of an atmospheric channel Sorelli, Giacomo McDonald, Douglas Gladysz, Szymon Optics We investigate the reconstruction of the transmission matrix of a time-evolving atmospheric channel with an online recursive optimization routine, using wave-optics simulations. We demonstrate that this estimation technique is able to keep up with the evolution of the channel and enables a significant improvement of communication-relevant quantities such as the total power transmitted through the channel, and the coupling of the received light into a single mode fiber. Moreover, we show that this approach is robust against measurement noise, and that it notably reduces the probability and duration of power outages, even in strong turbulence. |
| title | Online estimation of the transmission matrix of an atmospheric channel |
| topic | Optics |
| url | https://arxiv.org/abs/2504.00736 |