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具有基于摄像头的自适应光学无线通信系统,可对水下流和雾道进行估计

Jianhui Chen, Tilahun Zerihun Gutema, Wasiu O Popoola

|August 12, 2025

概括

这项研究通过使用基于摄像头的通道估计来提高水下光学无线通信 (UOWC) 的可靠性. 该系统适应调制和传输功率以适应不断变化的条件,改善流和雾中的性能.

科学领域:

光学无线通信的无线通信
水下通信系统水下通信系统
信号处理信号处理

背景情况:

光学无线通信 (OWC) 提供高带宽,但由于动态通道条件,可靠性面临挑战.
水下光学无线通信 (UOWC) 特别容易受到流和雾等损害,影响信号完整性.
现有的通道估计方法可能无法充分解决UOWC环境中遇到的快速波动.

研究的目的:

开发和评估基于摄像头的通道估计技术,以提高光学无线通信系统的可靠性.
实施基于实时通道状况估计的自适应调制和传输功率控制策略.
为了证明系统在减轻水下流和雾气造成的性能下降方面的有效性.

主要方法:

利用k-最近邻近 (k-NN) 算法在模拟的UOWC环境中估计通道条件.
采用图像处理技术来估计光学无线通信通道上的强度减弱.
实现了自适应调制,根据估计的频道质量调整调制类型和顺序.
开发了可适应的发射功率控制机制,以补偿信号损失.

主要成果:

基于摄像头的通道估计显著提高了光学无线通信链路在时间变化的通道条件下的可靠性.
适应式调制和功率控制有效地弥补了模拟的水下流和雾带来的信号损害.
k-NN算法提供了准确的通道状态信息,以实现有效的适应.

结论:

基于摄像头的通道估计,加上自适应调制和功率控制,为可靠的UOWC提供了强大的解决方案.
拟议的系统显示了对常见的水下光通道损伤的增强性能和弹性.
这种方法为未来高可靠性UOWC系统设计提供了一个有希望的方向.

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