27 November 2023High precision estimation of optical feedback factor and linewidth enhancement using non-dominated sequential genetic algorithm II (NSGA-II)
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Self-mixing interferometry is an interferometric technique based on the self-mixing effect. Its unique structure and operating principle allow part of the light emitted by the laser to be reflected back into the laser cavity via a remote target, producing optical output power modulations and displayed as interference waveforms. The shape of these waveforms is determined by the optical feedback factor and the linewidth enhancement factor, which also affect the behavior and measurement performance of the self-mixing interferometric system. To address the need for optical measurements in the medium feedback case, this paper proposes a method to accurately estimate the optical feedback factor and linewidth enhancement factor using the non-dominated sorting genetic algorithm II (NSGA-II). The effectiveness and robustness of the method are verified by simulation and experimental results, and preliminary tests show that it can achieve an accuracy of 0.35% and 0.56% in estimating the optical feedback factor and linewidth enhancement factor. The method has potential for practical engineering applications and promotes the development of self-mixing interferometry.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jinyuan Yuan andBin Liu
"High precision estimation of optical feedback factor and linewidth enhancement using non-dominated sequential genetic algorithm II (NSGA-II)", Proc. SPIE 12761, Semiconductor Lasers and Applications XIII, 1276111 (27 November 2023); https://doi.org/10.1117/12.2687227
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Jinyuan Yuan, Bin Liu, "High precision estimation of optical feedback factor and linewidth enhancement using non-dominated sequential genetic algorithm II (NSGA-II)," Proc. SPIE 12761, Semiconductor Lasers and Applications XIII, 1276111 (27 November 2023); https://doi.org/10.1117/12.2687227