A Simulation Study of an Optimized Impedance Spectroscopy Approach for Gas Sensors

A. V. Radogna, S. D’Amico, S. Capone, L. Francioso
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引用次数: 6

Abstract

This paper presents a simulation study of an optimized and computationally low-cost method for estimating the Electrical Impedance Spectra (EIS) of semiconductor gas sensors and in particular for Metal-Oxide (MOX) chemiresistive sensors. The approach is applied directly to the sensor without using a voltage divider and is based on a well-known signal processing principle: a Linear Time-Invariant (LTI) system’s Impulse Response (IR) is estimated by stimulating the system with a Maximum Length Sequence (MLS) and thus performing the circular cross-correlation between input and output signals. Finally, the system’s frequency response, i.e. the impedance spectrum, is obtained through the Fast Fourier Transform (FFT) of the estimated impulse response. The technique is demonstrated in simulation environment using a time-invariant passive network that simulates a MOX sensor. Simulation results and performance analysis are discussed showing design trade-offs.
气体传感器阻抗谱优化方法的仿真研究
本文提出了一种优化且计算成本低的方法,用于估计半导体气体传感器的电阻抗谱(EIS),特别是金属氧化物(MOX)化学电阻传感器。该方法直接应用于传感器而不使用分压器,并基于一个众所周知的信号处理原理:线性时不变(LTI)系统的脉冲响应(IR)是通过用最大长度序列(MLS)刺激系统来估计的,从而在输入和输出信号之间执行循环相互关联。最后,通过对估计的脉冲响应进行快速傅里叶变换(FFT)得到系统的频率响应,即阻抗谱。该技术在仿真环境中使用模拟MOX传感器的时不变无源网络进行了演示。仿真结果和性能分析显示了设计的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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