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基于TLS-ESPRIT算法的声表面波标签辨识
引用本文:朱华,韩韬,施文康,蔡少川. 基于TLS-ESPRIT算法的声表面波标签辨识[J]. 上海交通大学学报, 2007, 41(9): 1556-1559
作者姓名:朱华  韩韬  施文康  蔡少川
作者单位:上海交通大学,仪器科学与工程系,上海,200240;三明学院,物理与机电工程系,福建,三明,365004
摘    要:为降低收发机成本,在声表面波射频识别系统中采用频域取样,并利用频率步进连续波作为发射信号.为了进一步提高识别距离及系统的抗干扰能力,增强标签在小信噪比下的识别能力,在信号处理部分使用总体最小二乘-旋转不变技术估计信号参数(TLS-ESPRIT)算法来提取标签的时延信息并解码.试验结果表明,相对于其他算法,TLS-ESPRIT算法能够在小信噪比条件下以较窄的工作带宽有效地识别标签.

关 键 词:声表面波标签  频率步进连续波  总体最小二乘-旋转不变技术估计信号参数
文章编号:1006-2467(2007)09-1556-04
修稿时间:2006-08-26

The Identification of Surface Acoustic Wave Tags Based on TLS-ESPRIT Algorithm
ZHU Hua,HAN Tao,SHI Wen-kang,CAI Shao-chuan. The Identification of Surface Acoustic Wave Tags Based on TLS-ESPRIT Algorithm[J]. Journal of Shanghai Jiaotong University, 2007, 41(9): 1556-1559
Authors:ZHU Hua  HAN Tao  SHI Wen-kang  CAI Shao-chuan
Affiliation:1. Dept. of Instruments Science and Eng. , Shanghai Jiaotong Univ. , Shanghai 200240, China; 2. Dept. of Physics and Mechanical and Electrical Eng. , Sanming College, Sanming 365004, China
Abstract:To decrease the costs on transceiver,frequency domain sampling was introduced to the surface acoustic wave(SAW) radio frequency identification(RFID) system,and the frequency stepped continuous wave(FSCW) was adopted as interrogation signal.To increase the identification range and allow the system work in harsher environments further,it is necessary to enhance the identification capability at low signal noise ratio(SNR).Therefore,the total least squares-estimating signal parameters via the rotational invariance technique(TLS-ESPRIT) algorithm was adopted in the signal processing unit to obtain the time delays which are used to decode.The experimental results show that the TLS-ESPRIT algorithm can identify the SAW ID-tags effectively at low SNR with narrower bandwidth compared to the other algorithms.
Keywords:surface acoustic wave(SAW) ID-tags  frequency stepped continuous wave (FSCW)  total least squares-estimating signal parameters via rotational invariance techniques(TLS-ESPRIT)
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