BR-GAN:结构增强的GAN与混合损失优化用于轨道角动量束恢复
Optics express
|December 19, 2025
概括
一种新方法使用结构增强的生成对抗网络 (BR-GAN) 来恢复扭曲的轨道角动量 (OAM) 束. 这种技术有效地恢复振幅和相位,在各种大气动荡条件下优于现有方法.
科学领域:
- 光学和光子学 在光学和光子学.
- 人工智能的人工智能
- 自由空间光学通信自由空间光学通信
背景情况:
- 轨道角动量 (OAM) 束为高容量通信提供了潜力.
- 由于大气流 (AT) 的OAM光束扭曲限制了实际应用.
- 现有的恢复方法与复杂的扭曲和不同流强度的扎.
研究的目的:
- 开发一种新的,强大的方法来恢复扭曲的OAM光束.
- 提高OAM光束恢复的生成对抗网络 (GAN) 的性能.
- 通过各种扭曲级别和流场景验证拟议的方法.
主要方法:
- 开发了一个结构增强的生成对抗网络 (BR-GAN) 具有混合损失优化.
- 优化了BR-GAN架构和培训,以改善OAM恢复.
- 使用峰值信号噪声比 (PSNR),结构相似度指数 (SSIM) 和模式纯度来评估性能.
主要成果:
- 该BR-GAN实现了高恢复性能 (例如41.76dBPSNR,0.9989SSIM,0.9815模式纯度为OAM+1).
- 通过弱,中等和强大大气动荡来证明有效的恢复.
- 在关键指标上,BR-GAN显著优于传统方法 (VAE,原始GAN,VGG-11).
结论:
- 与现有技术相比,拟议的BR-GAN在OAM光束回收方面提供了卓越的性能.
- 该方法对高容量自由空间激光通信系统,包括模式分割多重复合 (MDM) 有前途.
- 在现实条件下,BR-GAN为OAM光束扭曲补偿提供了强大的解决方案.
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