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通过经验模式分解 (EMD) 和频率过来提高光学频域反射仪 (OFDR) 的性能,用于智能传感

Maxim E Belokrylov¹, Dmitry A Kambur^1,2, Yuri A Konstantinov¹

¹Perm Federal Research Center, Ural Branch of the Russian Academy of Sciences, 13a Lenin Street, 614990 Perm, Russia.

Sensors (Basel, Switzerland)

|February 24, 2024

概括

本研究通过简化硬件来提出一个具有成本效益的光学频域反射仪 (OFDR). 数字信号处理恢复了OFDR的痕迹,保持了高分辨率和可重复性.

科学领域:

光电学是指光电子产品.
有光学传感器的感应器.
信号处理信号处理

背景情况:

光学频域反射计 (OFDR) 是用于高分辨率测量的强大技术.
传统的OFDR系统通常使用复杂的参考道,增加硬件成本.
简化OFDR硬件对于更广泛的采用和成本效益至关重要.

研究的目的:

开发一种简化且具有成本效益的OFDR硬件设计.
调查数字信号处理在减少频道OFDR中数据提取的有效性.
为了保持高分辨率和测量可重复性,使用简化系统.

主要方法:

用单通道取代两个参考通道 (辅助干扰仪,气体电池).
利用数字信号处理技术,包括数字频率过和经验模式分解.
采用相同频率重新采样 (EFR) 算法来恢复OFDR的痕迹.

主要成果:

通过简化参考道,成功降低了OFDR硬件的复杂性和成本.
证明了数字信号处理在提取必要信息中的有效性.
通过EFR实现了OFDR跟踪恢复,而不影响高分辨率或测量可重复性.
消除了需要额外的模拟数字转换器和光电探测器的需求.

结论:

拟议的方法为OFDR硬件提供了显著的成本降低.
数字信号处理是简化OFDR系统中数据提取的可行方法.
简化的OFDR保持了像分辨率和可重复性这样的性能指标,使其适用于各种应用.

关键词:

在OFDR中,OFDR是OFDR.这是一个辅助干扰计辅助干扰计.经验模式分解分解气体电池是气体电池中的一个.光学频率域反射计反射计通过光学测量进行测量.

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