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Chaotic synchronization of a distant star-type laser network with multiple optical injections
Optics Express
|October 29, 2020
Summary
A novel multi-injection module (MIM) significantly improves chaotic synchronization in distant star-type laser networks. This new method achieves much lower correlations between laser nodes, even over long fiber links.
Area of Science:
- Optics and Photonics
- Telecommunications Engineering
- Nonlinear Dynamics
Background:
- Distant star-type laser networks are crucial for secure communication.
- Achieving stable chaotic synchronization in such networks is challenging due to signal degradation over long fiber links.
- Previous methods struggled to maintain low correlation between network nodes.
Purpose of the Study:
- To introduce and evaluate a novel multi-injection module (MIM) for enhancing chaotic synchronization in distant star-type laser networks.
- To experimentally and theoretically investigate the performance of the MIM.
- To analyze the impact of MIM on correlation levels and operating conditions.
Main Methods:
- Implementation of a novel multi-injection module (MIM) in a star-type laser network.
- Experimental investigation of chaotic synchronization between a hub semiconductor laser node (H-SLN) and star semiconductor laser nodes (S-SLNs).
- Theoretical modeling to analyze synchronization conditions and the effect of MIM parameters.
Main Results:
- Achieved significantly low correlation (approx. 0.2) between H-SLN and S-SLNs in different clusters using MIM.
- Maintained low correlation (approx. 0.18) even with extended fiber links up to 80 kilometers.
- Examined the influence of injection power, frequency detuning, and mismatch on synchronization.
Conclusions:
- The novel MIM effectively reduces correlation in distant star-type laser networks, outperforming previous results.
- The MIM demonstrates robustness in maintaining low correlation over extended fiber lengths.
- Further analysis explored synchronization conditions within clusters and the impact of MIM branch configuration.

