Parameters extraction for the DFB laser spectrum based on adaptive differential evolution algorithm

Shengtong Sang; Chuanning Niu; Feng Gao; Jia Zhao

doi:10.1117/12.3008114

24 November 2023 Parameters extraction for the DFB laser spectrum based on adaptive differential evolution algorithm

Shengtong Sang, Chuanning Niu, Feng Gao, Jia Zhao

Author Affiliations +

Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 129354U (2023) https://doi.org/10.1117/12.3008114
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China

Abstract

We demonstrate a method for extracting the spectral parameters of the distributed feedback (DFB) laser based on an adaptive differential evolution algorithm. By using the multi-objective optimization method to fit the measured spectrum, the relevant-parameters of the spectrum can be rapidly and accurately extracted. Experimental results show that the proposed method can obtain high accuracy of DFB laser spectrum parameters extraction. Moreover, this method is suitable for a wide range of applications, including spectrum fitting and other parameters extraction.

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

Citation Download Citation

Shengtong Sang, Chuanning Niu, Feng Gao, and Jia Zhao "Parameters extraction for the DFB laser spectrum based on adaptive differential evolution algorithm", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 129354U (24 November 2023); https://doi.org/10.1117/12.3008114

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