Gradient-based Optimization for Unrepeatered Optical Systems
| Autor: | Felipe L. Della Lucia, Tiago Sutili, Darli A. A. Melloy, Rafael C. Figueiredo, José Hélio da Cruz Júnior |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
Amplifier Transmitter Nonlinear optics 02 engineering and technology 01 natural sciences Multiplexing 010309 optics Optical pumping Momentum 020210 optoelectronics & photonics 0103 physical sciences Convergence (routing) 0202 electrical engineering electronic engineering information engineering Gradient descent Algorithm |
| Zdroj: | 2019 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC). |
| DOI: | 10.1109/imoc43827.2019.9317624 |
| Popis: | We propose a multi-parameter adaptive technique based on the gradient descent algorithm (MAT-GRAD) for optimizing the amplification scheme in unrepeatered wavelength-division multiplexed optical systems. The proposed methodology uses the gradient descent method to jointly optimize the transmitter (Tx) and receiver (Rx) remote optically pumped amplifiers (ROPAs), as well as the Tx forward first-order distributed Raman amplifier (DRA). The MAT-GRAD algorithm is evaluated in combination with the conventional gradient descent algorithm (GDA), and GDA with momentum (GDAM). The simulations indicate that the MAT-GRAD with GDAM achieves a suitable minimum at a higher convergence speed. |
| Databáze: | OpenAIRE |
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