Sources of Third–Order Intermodulation Distortion in Bulk Acoustic Wave Devices: A Phenomenological Approach

Rocas, Eduard; Collado, C.

doi:10.5772/19259

Cited by 1 publication

(3 citation statements)

References 21 publications

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“…Nonlinearities are among the most frequent causes of chaotic behavior. Nonlinearities of acoustic wave-based devices are known and have been studied for a long time (Lardner, 1986;Rocas and Collado, 2011;Ash, 1978;David and Parker, 1987;Harvey et al, 1987). According to Zarembo and Krasilnikov (1971), pronounced nonlinear effects such as acoustic harmonic generation and nonlinear resonances, occur in fully elastic deformation regimes.…”

Section: Resultsmentioning

confidence: 99%

“…According to Zarembo and Krasilnikov (1971), pronounced nonlinear effects such as acoustic harmonic generation and nonlinear resonances, occur in fully elastic deformation regimes. In bulk acoustic wave devices, nonlinear material properties and dynamic self-heating lead to harmonic generation and third order intermodulation distortion (Rocas and Collado, 2011). There are significant differences between bulk and SAW devices.…”

Section: Resultsmentioning

confidence: 99%

“…It is highly improbable that this process is sorption-related, since the equilibrium of sorption/ desorption process is reached in a matter of seconds. During operation, the power dissipated within the surface of the SAW device will cause a slow increase of temperature, both of the quartz and the chemo-selective layer of SnO 2 (Rocas and Collado, 2011). While not a direct route for chaos, temperature certainly should have major impact on a chaotic evolution of the SAW device because of its temperature-sensitive nature (Ballantine et al, 1997b).…”

Section: Resultsmentioning

confidence: 99%

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Sub-limit detection in SAW sensors by FFT spectral analysis of frequency time instability

Nicolae

Miu

Viespe

2019

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Purpose The detection of H2 concentrations in concentrations undetectable by the conventional detection method of surface acoustic wave (SAW) sensors based on frequency shift, by correlating analyte presence with Fourier spectra components. Design/methodology/approach Fast Fourier Transform (FFT) and autocorrelation analysis of phase noise in a SnO2-coated SAW sensor was performed. Fourier spectra were obtained by FFT from the SAW sensor resonance frequency instability, in the absence of analyte, and for H2 concentrations between 0.08 and 0.4 per cent. Findings All analyte concentrations are below the sensor limit of detection, which is 0.8 per cent for H2. Although these analyte concentrations caused no significant change in the resonance frequency of the SAW resonator, the FFT spectra presented several modifications, namely, the appearance of a new peak and the decrease of randomness. The authors consider that the effect is because of the chaotic behavior of the temporal dependence of the SAW resonance frequency. This explanation is substantiated by the decrease observed in the SAW oscillator autocorrelation function, which is an indication for a chaotic behavior. Practical implications As chaotic systems are extremely sensitive to perturbation, measurement methods based on chaos diagnosis could potentially greatly improve the SAW detection. Originality/value Fourier spectra components were correlated with analyte presence in concentrations undetectable by the conventional SAW detection method based on frequency shift.

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