Multimode Fiber Transmission Matrix Inversion with Densely Connected Convolutional Network for Physical Layer Security
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
For exploiting multimode fiber optic communication networks towards physical layer security, we have trained a neural network performing mode decomposition of 10 modes. The approach is based on intensity-only camera images and works in real-time.
Details
| Original language | English |
|---|---|
| Title of host publication | 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISBN (electronic) | 9781943580910 |
| Publication status | Published - May 2021 |
| Peer-reviewed | Yes |
Conference
| Title | 41th Conference on Lasers and Electro-Optics |
|---|---|
| Abbreviated title | CLEO 2021 |
| Conference number | 41 |
| Duration | 9 - 14 May 2021 |
| Website | |
| Location | Online |
| City | San Jose |
| Country | United States of America |