自主水下无人机群体的自适应式中继自由空间网络
David Stack1, Douglas Nuti1, Mehdi Rahmati1
1Washkewicz College of Engineering, Cleveland State University, Cleveland, OH 44115, USA.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
这项研究展示了一种适应式继电器光学无线网络,用于水下勘探. 它克服了视线限制,使水上无人机群体能够进行强大的通信.
科学领域:
- 机器人技术和自主系统
- 水下通信是指水下通信.
- 光学网络的光学网络.
背景情况:
- 水下无线网络对于勘探和监测至关重要,目前的系统主要使用声波.
- 光通信带来了挑战,主要是视线 (LOS) 传播限制,阻碍了其在水生环境中的广泛采用.
研究的目的:
- 提出和实验验证一种适应式继电无线网络配置,利用光学来克服LOS的局限性.
- 探索光通信在高数据速率水下应用中的潜力,特别是无人机群象等自主系统的潜力.
主要方法:
- 构建一个实验网络,使用能够传输调制蓝光的战略位置传感器.
- 开发和编程一个假设的水上无人机群,使用自适应式继电器逻辑来导航障碍物.
- 通过自适应配置,测试网络保持通信能力,尽管LOS阻塞.
主要成果:
- 实验网络成功地证明了适应视线上的障碍物.
- 传感器和潜水器之间保持通信,即使直接的光学路径被屏蔽.
- 适应式继电器逻辑使系统能够重新配置和维持连接.
结论:
- 在适应式继电器配置中使用光学可以克服水下光学无线网络固有的视线限制.
- 这种方法提高了水生应用的光通信的可行性,利用其更高的数据速率潜力.
- 这些发现支持开发高效,高带宽的水下通信系统,用于勘探和监测任务.
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