阶段位移介导的高维分数声学沟通
Ruijie Cao1,2,3, Gepu Guo1, Wei Yue1
1School of Computer and Electronic Information, Nanjing Normal University, Nanjing 210023, China.
Research (Washington, D.C.)
|March 4, 2024
概括
分数轨道角动量 (FOAM) 通信通过相位移和机器学习提高了通道容量. 这种方法实现了稳定,准确的声波沟通,提高了分辨率和信息水平.
科学领域:
- 声学 声学 在声学上
- 光学通信是指光学通信.
- 信号处理 信号处理
背景情况:
- 分数轨道角动量 (FOAM) 在声 (AV) 通信中提供了无限通道容量的潜力.
- 目前的局限性包括精度差,稳定性差,非直角性差,以及 AV 断片光束中的干扰.
- 对于声学而言,机器学习受到复杂的二维测量要求的阻碍,与光学不同.
研究的目的:
- 开发一种使用相位位移介导方法的高维分数AV通信策略.
- 为了提高FOAM识别的准确性,稳定性和防干扰能力.
- 为了使AV通信系统中有效的信息传输.
主要方法:
- 实施对FOAM多重复合和循环稀疏采样.
- 使用相位移作为FOAM识别和采样减少的物理指南.
- 开发一个卷积神经网络,以实现稳定和准确的通信,对流和错位保持稳定.
主要成果:
- 在特定的拓电荷范围内,使用32点双环采样进行10位信息传输的实验演示.
- 实现了0.2的FOAM分辨率,显著减少了AV通信的分歧.
- 通过0.025.5的改进FOAM分辨率来验证无限通道容量扩展.
结论:
- 与之前的工作相比,拟议的战略显著提高了OAM利用率,信息水平和OAM解决方案.
- 该技术为AV通信提供了高维度,高速度和低分歧的优势.
- 这种方法对下一代声通信系统具有前景.
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