Hybrid Raman and phase-sensitive amplifier for ultra-low-noise few-mode amplification and modal crosstalk mitigation in MDM systems
Ultra-low-noise amplification and modal crosstalk mitigation are critical for advancing mode division multiplexing (MDM) systems. We propose and experimentally demonstrate a few-mode hybrid optical amplifier that combines a few-mode distributed Raman amplifier (FM-DRA) with a single-mode phase-sensitive amplifier (PSA). The FM-DRA implemented in a 100-km few-mode fiber provides preliminary low-noise amplification, while the subsequent PSA leverages its unique phase-sensitive gain property to further enhance signal gain, improve optical signal-to-noise ratio, and suppress modal crosstalk. The system achieves average on-off gains of 20.3 dB and 14.8 dB across a 35-nm bandwidth (1530 to 1565 nm) for the <i>LP</i><sub>01</sub> and <i>LP</i><sub>02</sub> modes, respectively. Remarkably, the effective noise figures (NFs) for the <i>LP</i><sub>01</sub> and <i>LP</i><sub>02</sub> modes are below -2.8 dB and -3.7 dB, respectively, with the lowest effective NFs reaching -5.9 dB and -6.8 dB, outperforming the standalone FM-DRA. Additionally, the PSA demonstrates significant modal crosstalk reduction for each mode across the 35-nm bandwidth. These results demonstrate the potential of the proposed scheme to significantly enhance the performance of MDM systems.
Authors
- Ling Luo (ORCID: https://orcid.org/0000-0002-1379-9937)
- S. Wang
- Yuanyuan Gong (ORCID: https://orcid.org/0000-0002-1266-3915)
- Zhirong Chen (ORCID: https://orcid.org/0000-0001-6587-6706)
- Zhaohui Li (ORCID: https://orcid.org/0000-0002-6151-8642)
- Xiaojie Guo (ORCID: https://orcid.org/0000-0003-3511-6110)
- Chunxu Wang
Institutions
- Sun Yat-sen University (CN)
- Shanghai Jiao Tong University (CN)
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN)
Publication Details
- Journal
- Optics Express
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1364/oe.558934
- Citations
- 1
- Primary Topic
- Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China