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基于CPWM和卷积神经网络的非视线光学摄像头通信

Xiangyu Wan, Bangjiang Lin, Zabih Ghassemlooy

|October 19, 2023

概括

本研究介绍了一种非视线光学摄像头通信系统,使用色脉冲宽度调制 (CPWM) 和卷积神经网络. 该系统在室内应用中实现了7.2 kbps的数据速率.

科学领域:

光学通信是指光学通信.
无线网络无线网络.
信号处理信号处理

背景情况:

视线光学摄像机通信 (OCC) 面临由于阻塞和影像的限制.
非视线 (NLOS) 链接为无线数据传输提供了更好的可用性和移动性.

研究的目的:

提出和评估一个新的NLOS OCC系统.
通过扩散反射来提高室内环境中的数据传输速率.

主要方法:

使用RGBLED将数据信号映射成颜色脉冲宽度调制 (CPWM) 符号.
一个基于卷积神经网络 (CNN) 的接收器,用于CPWM信号解调.
拟议的NLOS OCC系统的实验验证.

主要成果:

拟议的方案有效地减轻因分散反射引起的符号间干扰.
实现了7.2 kbps的数据传输速度.
在超过2米的链路跨度上展示了可靠的通信,适合室内应用.

结论:

开发的NLOS OCC系统为强大的室内无线通信提供了可行的解决方案.
与CNN解调相结合的CPWM信号增强了NLOS OCC的性能.
该系统提供了一种实际的方法,可以在具有挑战性的光通信场景中提高数据速率.

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Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.