Compensation of coherent optical communication systems using PSO-optimized SVM

Ziyang Wang; Yixin Wang; Jie Zhang

doi:10.1117/12.3047791

13 December 2024 Compensation of coherent optical communication systems using PSO-optimized SVM

Ziyang Wang, Yixin Wang, Jie Zhang

Author Affiliations +

Proceedings Volume 13502, AOPC 2024: AI in Optics and Photonics; 135020L (2024) https://doi.org/10.1117/12.3047791
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

With the explosive growth of data volume, the computational complexity of using digital signal processing methods to compensate for optical fiber dispersion and nonlinear effects is rising rapidly. This paper proposes using a support vector machine (SVM) algorithm to address this challenge in QPSK systems. For nonlinear compensation, Particle Swarm Optimization (PSO) is utilized instead of the traditional grid search method to optimize parameters. The performance of the PSO-SVM method is compared with Dispersion Compensation and Digital Backpropagation (DBP) algorithms. Results indicate that PSO-SVM outperforms both alternatives, providing a more effective solution for managing nonlinear effects in optical communication systems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziyang Wang, Yixin Wang, and Jie Zhang "Compensation of coherent optical communication systems using PSO-optimized SVM", Proc. SPIE 13502, AOPC 2024: AI in Optics and Photonics, 135020L (13 December 2024); https://doi.org/10.1117/12.3047791

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