Coherent optical link phase noise control based on SPGD algorithm with optimal estimation

Yihao Luo; Jun Zhang; Shiyin Du; Qiuquan Yan; Tong Zhou; Tian Jiang

doi:10.1117/12.3014499

29 December 2023 Coherent optical link phase noise control based on SPGD algorithm with optimal estimation

Yihao Luo, Jun Zhang, Shiyin Du, Qiuquan Yan, Tong Zhou, Tian Jiang

Proceedings Volume 12975, 6th Optics Young Scientist Summit (OYSS 2023); 1297509 (2023) https://doi.org/10.1117/12.3014499
Event: 6th Optics Young Scientist Summit, 2023, Changsha, China

Abstract

The Stochastic Parallel Gradient Descent (SPGD) algorithm is a widely used model-free optimization algorithm in adaptive optical systems. However, when affected by noise, the SPGD algorithm may incorrectly estimate the gradient, resulting in a significant decrease in its performance and limitations in its application in complex environments. To address this issue, this paper introduces the optimal estimation algorithm and adds a self-checking process to the SPGD algorithm, proposing a Kal-SPGD algorithm. The feasibility of the Kal-SPGD algorithm is verified through simulation and experimentation. The experimental results show that compared with the standard SPGD, the use of the Kal-SPGD algorithm can reduce the signal amplitude variance by up to 92.15%. The Kal-SPGD algorithm provides a more favorable control technique for adaptive optical systems.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yihao Luo, Jun Zhang, Shiyin Du, Qiuquan Yan, Tong Zhou, and Tian Jiang "Coherent optical link phase noise control based on SPGD algorithm with optimal estimation", Proc. SPIE 12975, 6th Optics Young Scientist Summit (OYSS 2023), 1297509 (29 December 2023); https://doi.org/10.1117/12.3014499

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