Signal and array processing techniques for RFID readers

Radio Frequency Identification (RFID) has recently attracted much attention in both the technical and business communities. It has found wide applications in, for example, toll collection, supply-chain management, access control, localization tracking, real-time monitoring, and object identification. Situations may arise where the movement directions of the tagged RFID items through a portal is of interest and must be determined. Doppler estimation may prove complicated or impractical to perform by RFID readers. Several alternative approaches, including the use of an array of sensors with arbitrary geometry, can be applied. In this paper, we consider direction-of-arrival (DOA) estimation techniques for application to near-field narrowband RFID problems. Particularly, we examine the use of a pair of RFID antennas to track moving RFID tagged items through a portal. With two antennas, the near-field DOA estimation problem can be simplified to a far-field problem, yielding a simple way for identifying the direction of the tag movement, where only one parameter, the angle, needs to be considered. In this case, tracking of the moving direction of the tag simply amounts to computing the spatial cross-correlation between the data samples received at the two antennas. It is pointed out that the radiation patterns of the reader and tag antennas, particularly their phase characteristics, have a significant effect on the performance of DOA estimation. Indoor experiments are conducted in the Radar Imaging and RFID Labs at Villanova University for validating the proposed technique for target movement direction estimations.

[1]  Fred C. Schweppe,et al.  Sensor-array data processing for multiple-signal sources , 1968, IEEE Trans. Inf. Theory.

[2]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[3]  Arthur Jay Barabell,et al.  Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.

[4]  R. Kumaresan,et al.  Estimating the Angles of Arrival of Multiple Plane Waves , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[5]  M. Barkat,et al.  Near-field multiple source localization by passive sensor array , 1991 .

[6]  S. Shamsunder,et al.  High-order subspace-based algorithms for passive localization of near-field sources , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[7]  A. Belouchrani,et al.  Second-order near-field source localization: algorithm and performance analysis , 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

[8]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[9]  Klaus Finkenzeller,et al.  RFID Handbook: Radio-Frequency Identification Fundamentals and Applications , 2000 .

[10]  Wolfram Burgard,et al.  Mapping and localization with RFID technology , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[11]  Kyuseo Han,et al.  Combination of RFID and Vision for Mobile Robot Localization , 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.