Error Correction Method for Passive and Wireless Resonant SAW Temperature Sensor

被引：26

作者：

Liu, Boquan ^{[1
]}

Han, Tao ^{[1
]}

Zhang, Chengrui ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Instrument Sci & Engn, Shanghai 200240, Peoples R China

来源：

IEEE SENSORS JOURNAL | 2015年 / 15卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Passive wireless; SAW temperature sensor; error correction; Grassmann manifold; gradient descent;

D O I：

10.1109/JSEN.2015.2394776

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The resonant surface acoustic wave (SAW) sensors have advantages in the harsh application environments. However, the burst noise in the same frequency range, signal shadowing and a range of weather conditions introduce strong interferences to the wireless measurement system. Inspired by the theory of low-rank matrix completion generalized from the compress sensing, an algorithm suitable for passive wireless SAW temperature sensor system, which requires none of system modeling, probability distribution assumption, and extra sensors to obtain the corrected current frequency, is used to correct errors in the resonant frequency measurement. The proposed method suitable for passive wireless SAW resonant sensor system is employed to correct the frequency estimation errors in the measuring process. The performance and its validity are verified by simulations and experiments.

引用

页码：3608 / 3614

页数：7

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