在复杂的环境中使用高保真度光学无线传输,在一个角落使用单层神经网络的设计来进行数据编码
Optics express
|July 30, 2025
概括
这项研究引入了一种新的光学数据编码方案,用于通过水等复杂介质进行高保真光学无线传输. 一个单层神经网络使得可靠的数据传输在角落周围,即使在具有挑战性的环境.
科学领域:
- 有光无线通信的无线通信.
- 神经网络应用程序 神经网络应用程序
- 物理建模物理建模
背景情况:
- 光学无线传输 (OWT) 在动态和水等复杂介质中面临挑战.
- 在拐角处传输数据需要先进的技术来克服障碍和分散.
- 在如此苛刻的环境中,现有的方法可能缺乏忠实性和稳定性.
研究的目的:
- 通过复杂的介质提出一种新的光学数据编码方案,用于通过复杂的介质进行高保真OWT.
- 利用单层神经网络在OWT中建模物理过程.
- 通过简化的神经网络结构,使数据在拐角处传输.
主要方法:
- 一个单层神经网络被设计成适合光学调制,衍射和检测的物理模型.
- 开发了一个数据编码方案,其中每个像素都被映射到没有数据集的随机模式.
- 神经网络生成2D随机模式,用于控制自由空间通道中的光波.
主要成果:
- 通过动态和的水证明了高可靠性和高强度的光学数据传输.
- 该系统成功地在不同度和距离的角落中传输了数据.
- 单层神经网络促进了快速而简单的二维图案生成.
结论:
- 拟议的方法在复杂的环境中实现可靠的OWT,克服分散和障碍.
- 神经网络适应物理模型的能力为OWT系统提供了洞察力.
- 这种方法对于需要强大的光学数据传输的现实应用具有潜力.
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