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麦克风与光声池的协同共振匹配

Synergetic Resonance Matching of a Microphone and a Photoacoustic Cell.

作者信息

Sim Joo Yong, Ahn Chang-Geun, Huh Chul, Chung Kwang Hyo, Jeong Eun-Ju, Kim Bong Kyu

机构信息

Bio-Medical IT Convergence Research Department, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea.

出版信息

Sensors (Basel). 2017 Apr 8;17(4):804. doi: 10.3390/s17040804.

Abstract

We propose an approach to match the resonant characteristics of a photoacoustic cell with that of a microphone in order to enhance the signal-to-noise ratio in the photoacoustic sensor system. The synergetic resonance matching of a photoacoustic cell and a microphone was achieved by observing that photoacoustic cell resonance is merged with microphone resonance, in addition to conducting numerical and analytical simulations. Using this approach, we show that the signal-to-noise ratio was increased 3.5-fold from the optimized to non-optimized cell in the photoacoustic spectroscopy system. The present work is expected to have a broad impact on a number of applications, from improving weak photoacoustic signals in photoacoustic spectroscopy to ameliorating various sensors that use acoustic resonant filters.

摘要

我们提出一种方法,使光声池的共振特性与麦克风的共振特性相匹配,以提高光声传感器系统中的信噪比。除了进行数值模拟和分析模拟外,通过观察到光声池共振与麦克风共振合并,实现了光声池和麦克风的协同共振匹配。使用这种方法,我们表明在光声光谱系统中,从优化后的光声池到未优化的光声池,信噪比提高了3.5倍。预计目前的工作将对许多应用产生广泛影响,从改善光声光谱中的微弱光声信号到改进使用声共振滤波器的各种传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3e/5422165/c2650da2cd9e/sensors-17-00804-g001.jpg

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