Comparison between innovative approaches of RFID based localization using fingerprinting techniques for outdoor and indoor environments

In this paper, two novel localization algorithms using a fingerprint technique are proposed. The performance evaluation of these algorithms is compared by calculating the location estimation error. The feasibility for indoor and outdoor applications is investigated. The Radio Frequency Identification (RFID) System is utilized by the reader being the localized target. The passive tags are chosen as reference tags. The basic principle of the fingerprint technique is to find the target location by comparing its signal (or information) pattern to a beforehand recorded database of known location data. Consequently, there are two main steps for estimating the target location: the detected tags, in the first place, discovered by the reader at each fingerprint location are stored in the database and called a fingerprint. The reader location, in the second place, can be estimated by using two proposed methods. The performance of each method is verified by experiment data. The best results of location estimation error among one another for outdoor environment is less than 38 cm and for indoor environment is less than 35 cm. Furthermore, the investigation found that proposed methods can be used in the real applications for both indoor and outdoor environment.

[1]  Ahmed Wasif Reza,et al.  Investigation of Indoor Location Sensing via RFID Reader Network Utilizing Grid Covering Algorithm , 2009, Wirel. Pers. Commun..

[2]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[3]  Prashant Krishnamurthy,et al.  Modeling of indoor positioning systems based on location fingerprinting , 2004, IEEE INFOCOM 2004.

[4]  Nobuyoshi Komuro,et al.  Indoor Location Estimation Technique using UHF band RFID , 2008, 2008 International Conference on Information Networking.

[5]  A.H. Sayed,et al.  Network-based wireless location: challenges faced in developing techniques for accurate wireless location information , 2005, IEEE Signal Processing Magazine.

[6]  Lee Jang-Myung,et al.  Localization of Mobile Robot Based on Radio Frequency Identification Devices , 2006 .

[7]  Andrew Lim,et al.  A Robust RFID-Based Method for Precise Indoor Positioning , 2006, IEA/AIE.

[8]  Min Cheol Lee,et al.  Localization of Mobile Robot Based on Radio Frequency Identification Devices , 2006, 2006 SICE-ICASE International Joint Conference.

[9]  Gaetano Borriello,et al.  SpotON: An Indoor 3D Location Sensing Technology Based on RF Signal Strength , 2000 .

[10]  Jun-ichi Takada,et al.  Signal Subspace Interpolation from Discrete Measurement Samples in Constructing a Database for Location Fingerprint Technique , 2009, IEICE Trans. Commun..

[11]  Jeffrey H. Reed,et al.  Position location using wireless communications on highways of the future , 1996, IEEE Commun. Mag..

[12]  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)..

[13]  Wei Guo,et al.  Signal Processing Techniques in Network- Aided Positioning , 2005 .

[14]  Ju-Jang Lee,et al.  An improved localization system with RFID technology for a mobile robot , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.