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A noise-robust method for passive wireless resonant SAW sensor

Boquan Liu (Xiangtan University, Xiangtan, China)
Yicheng Zeng (School of Physics and Optoelectronics, Xiangtan University, Xiangtan, China)
Pinghua Tang (School of Physics and Optoelectronics, Xiangtan University, Xiangtan, China)

Sensor Review

ISSN: 0260-2288

Article publication date: 20 June 2016

200

Abstract

Purpose

This paper aims to propose a noise-robust method to estimate the frequency of the reflective echo to reduce the negative effects of noise and improve the accuracy and resolution of a resonant surface acoustic wave (SAW) sensor.

Design/methodology/approach

The proposed approach exploits the singular value decomposition to obtain the frequency information of a SAW response signal and overcome the noise influences.

Findings

Compared with the commonly used Fourier transform (FT) method, the accuracy and resolution improvement of the proposed method used in the SAW sensor is validated.

Originality/value

The system using the proposed method delivers lesser standard deviation, that is, delivers higher performance than the conventional system using the fast FT method.

Keywords

Acknowledgements

This work was supported by National Natural Science Foundation of China under Grant 61471310.

Citation

Liu, B., Zeng, Y. and Tang, P. (2016), "A noise-robust method for passive wireless resonant SAW sensor", Sensor Review, Vol. 36 No. 3, pp. 312-320. https://doi.org/10.1108/SR-07-2015-0120

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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