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基于比较器的超低采样 Φ-OTDR 系统使用压缩传感的 SNR 增强
Zhenyu Xiao1,2, Xiaoming Li3, Haofei Zhang3
1State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
本研究介绍了一种基于硬件的数据减少方法,用于连贯的相位敏感光学时域反射计 (Φ-OTDR) 系统. 然后,压缩传感会增强信号噪声比 (SNR),显著提高检测性能.
科学领域:
- 光电学是指光电子产品.
- 信号处理 信号处理
- 传感器技术 传感器技术
背景情况:
- 一致相位敏感光学时域反射计 (Φ-OTDR) 系统产生大量数据,带来传输,处理和存储的挑战.
- 现有的减少数据的硬件方法,如基于比较器的低采样,增加量子化噪声并降低信号对噪声比 (SNR).
研究的目的:
- 开发一种方法来减少 Φ-OTDR 系统中的数据量,同时保持或提高检测性能.
- 为了解决由基于硬件的数据减少技术引起的SNR恶化.
主要方法:
- 实施了硬件方法,使用比较器与低采样相结合,同时降低采样速率和分辨率.
- 应用压缩传感技术来消除模块化相位信号,利用振动的光谱稀疏性.
- 使用1位比较器,采用62.5 MS/s的采样速率来捕获80 MHz的节拍信号,将数据减少到7.45 MB/s.
主要成果:
- 在采样数据量中实现了显著的减少.
- 通过使用压缩传感对重建的正弦信号 (23.7dB至28.7dB) 进行了显著的SNR增强.
- 成功重建了高SNR的多频振动,验证了该技术的有效性.
结论:
- 提出的技术有效地减少了 Φ-OTDR 系统的硬件负担.
- 压缩传感成功地弥补了SNR损失,并提高了检测性能.
- 这种方法为高性能,低数据量的 Φ-OTDR 应用提供了可行的解决方案.
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