Localization Performance Analysis for Passive UHF RFID Technology Employing Directional Antennas and Omnidirectional Antennas

By the advantages of small size, low cost and easy deployment, passive Ultra High Frequency Radio Frequency Identification (UHF RFID) technology has become one of the most popular indoor localization technologies. As the most common measurement information, Received Signal Strength Indicator (RSSI) is severely affected by the complex indoor environments, like multipath propagation, Non-Line-of-Sight propagation, noise, etc. It eventually reduces location estimation accuracy. To improve the accuracy of RSSI-based algorithms, pattern matching algorithms are utilized with extra reference tags at fixed and known locations. One of the typical pattern matching algorithms is k-Nearest Neighbor (k-NN) algorithm. There is a problem for pattern matching algorithms utilized into real applications. That is the usually utilized RFID antenna is directional in industries while the algorithms are tested with omnidirectional antennas in experimental tests during research. In this paper, we take k-NN as an example to further analyze the performance difference between these two kinds of antennas. Experimental results show that the localization performance of k-NN algorithms with directional antennas utilized is worse than the results with omnidirectional antennas. But the performance is no significant difference.

[1]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[2]  K. Witrisal,et al.  Characterization and Modeling of UHF RFID Channels for Ranging and Localization , 2012, IEEE Transactions on Antennas and Propagation.

[3]  Yunhao Liu,et al.  LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[4]  Paramvir Bahl,et al.  RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[5]  Paolo Bellavista,et al.  Location-Based Services: Back to the Future , 2008, IEEE Pervasive Computing.

[6]  K. V. S. Rao,et al.  Phase based spatial identification of UHF RFID tags , 2010, 2010 IEEE International Conference on RFID (IEEE RFID 2010).

[7]  Zhi Zhang,et al.  Item-Level Indoor Localization With Passive UHF RFID Based on Tag Interaction Analysis , 2014, IEEE Transactions on Industrial Electronics.

[8]  Lei Yang,et al.  Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices , 2014, MobiCom.

[9]  Francesco Martinelli,et al.  Mobile Robot Localization Using the Phase of Passive UHF RFID Signals , 2014, IEEE Transactions on Industrial Electronics.

[10]  Eyal de Lara,et al.  Accurate GSM Indoor Localization , 2005, UbiComp.

[11]  Moustafa Youssef,et al.  WLAN location determination via clustering and probability distributions , 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[12]  Richard T. Watson,et al.  Location-based services , 2008, CACM.

[13]  Timo Hämäläinen,et al.  Experiments on local positioning with Bluetooth , 2003, Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing.

[14]  Jinlong Wang,et al.  Iterative Phase Reconstruction and Weighted Localization Algorithm for Indoor RFID-Based Localization in NLOS Environment , 2014, IEEE Sensors Journal.

[15]  G.D. Durgin,et al.  Complete Link Budgets for Backscatter-Radio and RFID Systems , 2009, IEEE Antennas and Propagation Magazine.

[16]  Juha-Pekka Makela,et al.  Indoor geolocation science and technology , 2002, IEEE Commun. Mag..

[17]  Lei Yang,et al.  Anchor-free backscatter positioning for RFID tags with high accuracy , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.