title: An improved performance frequency estimation algorithm for passive wireless SAW resonant sensors.
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.
authors.affiliation: School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. laubor@yeah.net.
authors.forename: Boquan
authors.initials: B
authors.lastname: Liu
authors.affiliation: School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. gmancn@163.com.
authors.forename: Chenrui
authors.initials: C
authors.lastname: Zhang
authors.affiliation: School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. jxj127@sjtu.edu.cn.
authors.forename: Xiaojun
authors.initials: X
authors.lastname: Ji
authors.affiliation: School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. jingchen0408@hotmail.com.
authors.forename: Jing
authors.initials: J
authors.lastname: Chen
authors.affiliation: School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. than@sjtu.edu.cn.
authors.forename: Tao
authors.initials: T
authors.lastname: Han