DocumentCode
3245184
Title
Frequency evaluation of SAW torque response signal using Hilbert envelope-demodulation
Author
Zhang, Yuntao ; Xu, Chunguang ; Zhao, Bing ; Liu, Zhongzhu
Author_Institution
Key Lab. of Fundamental Sci. for Adv. Machining, Beijing Inst. of Technol., Beijing, China
Volume
9
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
4069
Lastpage
4073
Abstract
When detecting the strain with passive wireless SAW (Surface Acoustic Wave) resonator sensor, the response signal is of narrow band, high frequency, low SNR and transient attenuation. The response signal is produced only in the case that the interrogation covers the operational frequency band of the SAW resonator. Burst of sinusoidal is used in the experiment to excite the resonator, and analysis of the sensing signal reveals that the response signal is an exponential decay signal of single frequency, changes of strain lead to a shift of the resonance frequency. Torque applied to the shaft can be acquired from changes of the center frequency of the resonator. The frequency resolution of traditional FFT spectrum analysis method is limited by sampling length, which can´t meet the accuracy. Parameter estimation methods, such as MLE (Maximum Likelihood Estimate) or LSE (Least Square Estimate) can be applied, but it is time-consuming to satisfy a real-time demand. In this paper, a new method of Hilbert envelope-demodulation is employed to estimate the center frequency, by which response signal can be converted to constant amplitude sinusoid. This can simplify the waveform greatly, and make it easy to determine the center frequency of the sensor. A problem of frequency detuning in envelope-demodulation is solved in this paper. For the demodulated single frequency sine wave, the resonance frequency can be got directly in time domain by finding the extreme of the waveform. The results show that this method can estimate the frequency more accurately and faster.
Keywords
fast Fourier transforms; least squares approximations; maximum likelihood estimation; surface acoustic wave resonators; surface acoustic wave sensors; FFT spectrum analysis method; Hilbert envelope-demodulation; LSE; MLE; SAW torque response signal; envelope-demodulation; frequency evaluation; least square estimate; maximum likelihood estimate; parameter estimation methods; resonance frequency; resonator sensor; single frequency sine wave; surface acoustic wave; Frequency measurement; Resonant frequency; Strain; Surface acoustic waves; Torque; Torque measurement; Transforms; Hilbert transform; SAW; envelope-demodulation; passive wireless;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5646175
Filename
5646175
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