用粒子群优化辅助方法提取VCSEL模型参数
Optics letters
|December 22, 2023
概括
我们介绍了一种直接粒子群优化 (PSO) 方法,用于提取垂直腔表面发射激光 (VCSEL) 模型的参数. 这种方法使用光电流和调制数据准确预测设备行为,优于其他优化器.
科学领域:
- 光学和光子学 在光学和光子学.
- 计算物理 计算物理
- 激光工程 激光工程
背景情况:
- 垂直腔表面发射激光器 (VCSEL) 的精确建模对于设备设计和性能预测至关重要.
- 从实验数据中提取物理模型参数 (光电流和调制响应) 是一个具有挑战性的优化问题.
- 现有的非线性优化方法可能面临复杂激光动态的参数提取的局限性.
研究的目的:
- 引入直接粒子群优化 (PSO) 方法,以有效地提取VCSEL物理模型的参数.
- 为了验证PSO方法使用光电流 (L-I) 和小信号调制 (S21) 数据准确复制VCSEL行为的能力.
- 与已建立的非线性优化技术对比拟的PSO方法的性能.
主要方法:
- 直接粒子群优化 (PSO) 算法用于参数提取.
- 该方法使用光电流 (L-I) 特性和小信号调制 (S21) 响应作为输入数据.
- 进行了PSO算法的超参数调整,以优化其预测能力.
主要成果:
- 该PSO方法成功地提取了物理模型参数,准确地复制了VCSEL设备的行为.
- 最佳的超参数显著提高了PSO方法的预测准确性.
- 在定量上,PSO方法的性能与Interior Point和Levenberg-Marquardt优化器进行了比较.
结论:
- 直接粒子群集优化为VCSEL参数提取提供了强大而准确的方法.
- 在VCSEL建模中,PSO方法表现出优于或与传统非线性优化器相提并论的性能.
- 这种方法为推进VCSEL设备的理解和设计提供了有价值的工具.
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