Abstract
An optical pre-processing structure is used to reduce the burden of digital equalizers and increase transmission reach for a direct detected system impaired by chromatic dispersion. The optical pre-processing consists of the optical signal being sliced into narrow frequency sub-band by an optical filter. Two distinct filters are numerically investigated: an arbitrary waveguide grating (AWG) filter and a series of cascaded Mach-Zehnder delay interferometers (MZDI). Each signal’s spectral slice is detected by a photodetector and used as input for the digital equalizer. Two options are also considered for equalization: a feedforward neural network (NN) equalizer and a recurrent neural network with reservoir computing (RC). The results are analyzed in simulation in terms of signalto-noise penalty at the KP4 forward error correction threshold. The penalty is calculated with respect to a back-toback transmission without equalization. A 32 GBd on-off transmission shows 0 dB penalty at ≈25 km transmission reach with optoelectronic processing with FNN and at ≈40 km with RC.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 22nd International Conference on Transparent Optical Networks (ICTON) |
| Number of pages | 2 |
| Publisher | IEEE |
| Publication date | 2020 |
| ISBN (Print) | 978-1-7281-8423-4 |
| Publication status | Published - 2020 |
| Event | 22nd International Conference on Transparent Optical Networks - Virtual event, Bari, Italy Duration: 19 Jul 2020 → 23 Jul 2020 Conference number: 22 https://icton2020.fbk.eu/ https://icton2020.fbk.eu/home |
Conference
| Conference | 22nd International Conference on Transparent Optical Networks |
|---|---|
| Number | 22 |
| Location | Virtual event |
| Country/Territory | Italy |
| City | Bari |
| Period | 19/07/2020 → 23/07/2020 |
| Internet address |
Keywords
- Reservoir computing
- Signal equalization
- Chromatic dispersion mitigation
- Short-reach transmission
- Direct-detection
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