An Improved Performance Frequency Estimation Algorithm for Passive Wireless SAW Resonant Sensors

Sensors

Boquan Liu¹  Chenrui Zhang¹  Xiaojun Ji¹  Jing Chen¹ 

[1] School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;

关键词: wireless SAW sensors;    singular value decomposition;    frequency estimation;   

DOI  :  10.3390/s141222261

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.