Adaptive Fitting Reference Frame for 2-D Indoor Localization Based on RFID

Indoor localization information is important to many different industries. Ever-rising demand from both custom and supplier pose great challenge for indoor localization technology. The emergence of rapid development of Radio Frequency Identification (RFID) technology enriches indoor positioning methodology. Traditional indoor localization algorithm mainly based on the signal propagation property. Among all of positioning algorithm, LANDMARC is most promising one but still has some limitation such as multipath effect, noise form environment and quantity constrain of tags. This paper identifies previous RFID-based indoor localization algorithm and proposes a new algorithm aiming at delivering above limitation to estimate objective position indoor environment. It use RSS propagation curve to obtain RSS value of virtual reference tag, and then estimate target tags position. To evaluate its performance, a comparison between LANDMARC and proposed algorithm was conducted. Experiment result show proposed algorithm is more accurate than LANDMARC.

[1]  Jing Shi,et al.  A comprehensive multi-factor analysis on RFID localization capability , 2011, Adv. Eng. Informatics.

[2]  Jing Chen,et al.  An efficient algorithm for indoor location based on RFID , 2011, 2011 International Conference on Wireless Communications and Signal Processing (WCSP).

[3]  Zhang Xiong,et al.  An Improved RFID-Based Locating Algorithm by Eliminating Diversity of Active Tags for Indoor Environment , 2009, Comput. J..

[4]  Roy Want,et al.  An introduction to RFID technology , 2006, IEEE Pervasive Computing.

[5]  Chia-Tai Chan,et al.  ZigBee-based indoor location system by k-nearest neighbor algorithm with weighted RSSI , 2011, ANT/MobiWIS.

[6]  Myong-Soon Park,et al.  An indoor localization mechanism using active RFID tag , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[7]  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)..

[8]  Yunhao Liu,et al.  VIRE: Active RFID-based Localization Using Virtual Reference Elimination , 2007, 2007 International Conference on Parallel Processing (ICPP 2007).

[9]  Sung Ho Cho,et al.  Advanced LANDMARC with adaptive k-nearest algorithm for RFID location system , 2010, 2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content.

[10]  Samar K. Mukhopadhyay,et al.  A review of RFID technology and its managerial applications in different industries , 2012 .

[11]  Ge Yan,et al.  Research of optimal placement of active reference tags based on LANDMARC algorithm , 2011, 2011 6th International Conference on Computer Science & Education (ICCSE).

[12]  Xiaolei Wang,et al.  An Enhanced Approach of Indoor Location Sensing Using Active RFID , 2009, 2009 WASE International Conference on Information Engineering.