基于 pix2pixGAN 的流补偿,用于轨道角动量复杂化的自由空间光学通信
Applied optics
|August 12, 2025
概括
本研究介绍了一种新的无传感器自适应光学 (AO) 系统,使用人工智能来改善自由空间光学通信. 由人工智能驱动的AO有效地弥补了大气动荡,提高了数据传输的可靠性.
科学领域:
- 光学通信是指光学通信.
- 适应光学适应光学
- 人工智能的人工智能
背景情况:
- 带有轨道角动量 (OAM) 复合的自由空间光通信提供了高容量,但受到大气流的影响.
- 流会导致模式交叉声和功率损失,降低OAM解码.
- 传统的自适应光学 (AO) 系统需要波面传感器,增加复杂性和成本.
研究的目的:
- 为自由空间光通信提出一种新的无传感器自适应光学 (AO) 框架.
- 为了利用像素到像素生成对抗网络 (pix2pixGAN) 的图像到图像翻译能力来进行扭曲补偿.
- 为了减少与传统的AO系统相关的复杂性和成本.
主要方法:
- 一个无传感器的 AO 框架,利用 pix2pixGAN 来从扭曲的图像中直接恢复补偿信息.
- 在没有波面传感器的情况下,直接识别和补偿流引起的扭曲.
- 集成到一个80 Gbit/s的自由空间光通信系统中,具有四个波长和两个OAM.
主要成果:
- 提出的基于pix2pixGAN的AO方法有效地弥补了波束扭曲.
- 即使在严重的流条件下 (D/r0=8) 也证明了成功的补偿.
- 观察到3.7dBm的最小功率灵敏度增强,位误差率为1*10^-3.
结论:
- 基于pix2pixGAN的新型无传感器的AO框架在基于OAM的自由空间光通信中有效补偿大气动荡.
- 这种人工智能驱动的方法比传统的AO系统提供了一个更简单,潜在的更具成本效益的解决方案.
- 该方法对提高在动荡环境中运行的高速光通信系统的可靠性和性能充满希望.
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