Coupled-Band ESSFM for Low-Complexity DBP
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911876624941056 |
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| author | Civelli, Stella Jana, Debi Pada Forestieri, Enrico Secondini, Marco |
| author_facet | Civelli, Stella Jana, Debi Pada Forestieri, Enrico Secondini, Marco |
| contents | We propose a novel digital backpropagation (DBP) technique that combines perturbation theory, subband processing, and splitting ratio optimization. We obtain 0.23 dB, 0.47 dB, or 0.91 dB gains w.r.t. dispersion compensation with only 74, 161, or 681 real multiplications/2D-symbol, improving significantly on existing DBP techniques. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_08396 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Coupled-Band ESSFM for Low-Complexity DBP Civelli, Stella Jana, Debi Pada Forestieri, Enrico Secondini, Marco Information Theory Signal Processing We propose a novel digital backpropagation (DBP) technique that combines perturbation theory, subband processing, and splitting ratio optimization. We obtain 0.23 dB, 0.47 dB, or 0.91 dB gains w.r.t. dispersion compensation with only 74, 161, or 681 real multiplications/2D-symbol, improving significantly on existing DBP techniques. |
| title | Coupled-Band ESSFM for Low-Complexity DBP |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2405.08396 |