Digital Pre-Distortion Coefficients Identification Using Gauss-Newton Based Direct Learning Architecture
| Autor: | Hexun Jiang, Mengfan Fu, Yixiao Zhu, Lilin Yi, Weisheng Hu, Qunbi Zhuge |
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| Rok vydání: | 2023 |
| Zdroj: | Optical Fiber Communication Conference (OFC) 2023. |
| DOI: | 10.1364/ofc.2023.th1f.6 |
| Popis: | We propose to identify the coefficients of a digital pre-distortion equalizer based on direct learning architecture (DLA) using the Gauss-Newton method. Experimental results show that DLA outperforms indirect learning architecture by 0.5dB. |
| Databáze: | OpenAIRE |
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