目标采购用于低可见度无线量子通信网络的协同系统
Keyu Li1,2, Tao Jiang2, Yang Li2,3
1CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei 230026, China.
Entropy (Basel, Switzerland)
|October 28, 2023
概括
采用长波红外 (LWIR) 量子级联激光器 (QCL) 的改进的双值方法可在雾,低可见性条件下增强对象采集,用于量子无人机通信网络.
科学领域:
- 光学和光子学 在光学和光子学.
- 无线通信网络 无线通信网络
- 量子技术 量子技术是一种量子技术.
背景情况:
- 严重的低可见性环境,例如充满烟雾的环境,降低了量子无人机通信网络中近红外 (NIR) 协同处理系统的性能.
- 烟雾散射噪声呈现为急剧变化的中高频调制,具有挑战性的目标检测.
研究的目的:
- 提出一种改进的双值方法,用于在恶劣的低可见性环境中获取目标.
- 利用长波红外 (LWIR) 量子级联激光器 (QCL) 克服NIR系统的局限性.
主要方法:
- 开发了一种改进的双值方法,将LWIR QCL的趋势线分析纳入其中.
- 模拟烟雾散射噪声特征及其对目标检测的影响.
- 在不同的信号噪声比 (SNR) 和强度变化下评估了该方法的性能.
主要成果:
- 低WIR激光器在区分目标信息与烟雾噪声方面比NIR激光器具有优势,颗粒大小<4μm.
- 拟议的方法在高SNR的情况下实现了良好的目标采集与常规值 (0.7峰值强度,0.8峰值上升速度).
- 适应性值重置 (峰值强度为0.6,峰值上升速度为0.6) 即使在低SNR和强度急剧变化的情况下,也可以实现良好的目标采集.
结论:
- 改进的双值方法有效地提高了在具有挑战性的低可见度,充满烟雾的环境中的目标采集.
- 与NIR系统相比,LWIR QCL在这种条件下为量子通信网络提供了更高的性能.
- 这项研究为在低可见度下运行的无线量子通信网络中改进对接系统提供了宝贵的参考.
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