| Title | Multimode Fiber Transmission Matrix Inversion with Densely Connected Convolutional Network for Physical Layer Security |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Zhang, Qian, Rothe, Stefan, Koukourakis, Nektarios, Czarske, Jürgen |
| Conference Name | 2021 Conference on Lasers and Electro-Optics (CLEO) |
| Keywords | composability, compositionality, decomposition, laser theory, Lasers and electrooptics, Metrics, Neural networks, Optical fiber networks, Optical fibers, physical layer security, Power lasers, pubcrawl |
| 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. |
| Citation Key | zhang_multimode_2021 |
Multimode Fiber Transmission Matrix Inversion with Densely Connected Convolutional Network for Physical Layer Security