基于TLS-ESPRIT算法的声表面波标签辨识  

The Identification of Surface Acoustic Wave Tags Based on TLS-ESPRIT Algorithm

作　　者：朱华[1] 韩韬[1] 施文康[1] 蔡少川[2] 

机构地区：[1]上海交通大学仪器科学与工程系,上海200240 [2]三明学院物理与机电工程系,福建三明365004

出　　处：《上海交通大学学报》2007年第9期1556-1559,共4页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金(10304012)资助项目

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.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.

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 

分 类 号：TN65[电子电信—电路与系统]