Wireless surface acoustic wave resonator sensors: fast Fourier transform, empirical mode decomposition or wavelets for the frequency estimation in one shot?

IF 0.8 Q4 INSTRUMENTS & INSTRUMENTATION Journal of Sensors and Sensor Systems Pub Date : 2023-11-16 DOI:10.5194/jsss-12-247-2023
A. Scipioni, P. Rischette, Agnès Santori
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Abstract

Abstract. Most applications which measure physical quantities, especially in harsh environments, rely on surface acoustic wave resonators (SAWRs). Measuring the variation of the resonance frequency is a fundamental step in such cases. This article presents a comparison between three techniques for best determining the resonance frequency in one shot from the point of accuracy and uncertainty: fast Fourier transform (FFT), discrete wavelet transform (DWT) and empirical mode decomposition (EMD). After proposing a model for the generation of synthetic SAW signals, the question of wavelet choice is answered. The three techniques are applied to synthetic signals with different central frequencies and signal-to-noise ratios (SNRs). They are also tested on experimental signals with different sampling rates, number of samples and SNRs. Results are discussed in terms of the accuracy of the estimated frequency and measurement uncertainty. This study is successfully extended to SAWR temperature sensors.
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无线表面声波谐振器传感器:快速傅里叶变换、经验模式分解还是小波来一次估计频率?
摘要大多数测量物理量的应用,尤其是在恶劣环境中的应用,都依赖于表面声波谐振器(SAWR)。在这种情况下,测量共振频率的变化是一个基本步骤。本文从准确性和不确定性的角度出发,比较了快速傅立叶变换 (FFT)、离散小波变换 (DWT) 和经验模式分解 (EMD) 这三种一次性确定共振频率的最佳技术。在提出合成声表面波信号的生成模型后,我们回答了小波选择的问题。这三种技术被应用于具有不同中心频率和信噪比(SNR)的合成信号。它们还在具有不同采样率、采样数和信噪比的实验信号上进行了测试。从估计频率的准确性和测量不确定性的角度对结果进行了讨论。这项研究已成功扩展到 SAWR 温度传感器。
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来源期刊
Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.30
自引率
10.00%
发文量
26
审稿时长
23 weeks
期刊介绍: Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.
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