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. 2014 Nov 25;14(12):22261-73.
doi: 10.3390/s141222261.

An improved performance frequency estimation algorithm for passive wireless SAW resonant sensors

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An improved performance frequency estimation algorithm for passive wireless SAW resonant sensors

Boquan Liu et al. Sensors (Basel). .

Abstract

Passive wireless surface acoustic wave (SAW) resonant sensors are suitable for applications in harsh environments. The traditional SAW resonant sensor system requires, however, Fourier transformation (FT) which has a resolution restriction and decreases the accuracy. In order to improve the accuracy and resolution of the measurement, the singular value decomposition (SVD)-based frequency estimation algorithm is applied for wireless SAW resonant sensor responses, which is a combination of a single tone undamped and damped sinusoid signal with the same frequency. Compared with the FT algorithm, the accuracy and the resolution of the method used in the self-developed wireless SAW resonant sensor system are validated.

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Figures

Figure 1.
Figure 1.
Passive wireless SAW resonant sensor system block diagram.
Figure 2.
Figure 2.
Hybrid signals with different undamped part ratio (a) 10% (b) 20% (c) 30% (d) 40%.
Figure 3.
Figure 3.
Comparisons of accuracy on mean square frequency error versus SNR on different undamped ratios (a) 10% (b) 20% (c) 30% (d) 40%.
Figure 4.
Figure 4.
Comparisons of measurement resolution at different SNR levels. (a) SNR level = 5 dB (b) SNR level = 10 dB.
Figure 5.
Figure 5.
Block diagram of the interrogation unit.
Figure 6.
Figure 6.
Absolute values of the deviations from the actual frequency.
Figure 7.
Figure 7.
The measured reflection coefficient (S11) of a resonator at 25 °C and 115 °C, respectively.
Figure 8.
Figure 8.
Experimental arrangement.
Figure 9.
Figure 9.
SAW resonator response signal (the horizontal axis is time in microsecond, and the vertical axis is the digitalized amplitude).
Figure 10.
Figure 10.
Measured frequency over the measurement time. (a) FFT; (b) Used method.

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