Localization Performance Analysis for Passive UHF RFID Technology Employing Directional Antennas and Omnidirectional Antennas | International Journal of Wireless Information Networks Skip to main content
Springer Nature Link
Log in

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

  • Published:
International Journal of Wireless Information Networks Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Bellavista P, Kupper A, Helal S. Location-based services: back to the future. Pervasive Computing, IEEE, 2008,7(2): 85–89.

    Article  Google Scholar 

  2. Junglas IA, Watson RT. Location-based services. Communications of the ACM, 2008, 51(3): 65–69.

    Article  Google Scholar 

  3. Pahlavan K, Li X, Makela JP. Indoor geolocation science and technology. IEEE Communications Magazine, 2002, 40(2): 112–118.

    Article  Google Scholar 

  4. Otsason V, Varshavsky A, LaMarca A, et al. Accurate GSM indoor localization. International conference on ubiquitous computing. Springer Berlin Heidelberg, 2005: 141–158

  5. Gezici S, Tian Z, Giannakis GB, et al. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks. IEEE signal processing magazine, 2005, 22(4): 70–84.

    Article  Google Scholar 

  6. Bahl P, Padmanabhan V N. RADAR: An in-building RF-based user location and tracking system. INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE. 2000, 2: 775–784.

  7. Youssef MA, Agrawala A, Shankar AU. WLAN location determination via clustering and probability distributions. Pervasive Computing and Communications, 2003.(PerCom 2003). Proceedings of the First IEEE International Conference on. IEEE, 2003: 143–150.

  8. Kotanen A, Hannikainen M, Leppakoski H, et al. Experiments on local positioning with Bluetooth. Information Technology: Coding and Computing [Computers and Communications], 2003. Proceedings. ITCC 2003. International Conference on. IEEE, 2003: 297–303.

  9. DiGiampaolo E, Martinelli F. Mobile robot localization using the phase of passive UHF RFID signals. IEEE Transactions on Industrial Electronics, 2014, 61(1): 365–376.

    Article  Google Scholar 

  10. Nikitin PV, Martinez R, Ramamurthy S, et al. Phase based spatial identification of UHF RFID tags. 2010 IEEE International Conference on RFID (IEEE RFID 2010). IEEE, 2010: 102–109.

  11. Ma Y, Zhou L, Liu K, et al. Iterative phase reconstruction and weighted localization algorithm for indoor RFID-based localization in NLOS environment. IEEE Sensors Journal, 2014, 14(2): 597–611.

    Article  Google Scholar 

  12. Zhang Z, Lu Z, Saakian V, et al. Item-level indoor localization with passive UHF RFID based on tag interaction analysis. IEEE Transactions on Industrial Electronics, 2014, 61(4): 2122–2135.

    Article  Google Scholar 

  13. Ni LM, Liu Y, Lau YC, et al. LANDMARC: indoor location sensing using active RFID. Wireless networks, 2004, 10(6): 701–710.

    Article  Google Scholar 

  14. Yang L, Chen Y, Li XY, et al. Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices. Proceedings of the 20th annual international conference on Mobile computing and networking. ACM, 2014: 237–248.

  15. Liu T, Yang L, Lin Q, et al. Anchor-free backscatter positioning for rfid tags with high accuracy. IEEE INFOCOM 2014-IEEE Conference on Computer Communications. IEEE, 2014: 379–387.

  16. Griffin JD, Durgin GD. Complete link budgets for backscatter-radio and RFID systems. IEEE Antennas and Propagation Magazine, 2009, 51(2): 11–25.

    Article  Google Scholar 

  17. Arnitz D, Muehlmann U, Witrisal K. Characterization and modeling of UHF RFID channels for ranging and localization. IEEE Transactions on Antennas and Propagation, 2012, 60(5): 2491–2501.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the Tianjin Research Program of Application Foundation and Advanced Technology under Grant 15JCQNJC41900 and in part by the Natural Science Foundation of China under Grant 61401301.

Author information

Authors and Affiliations

  1. School of Electronic Information Engineering, Tianjin University, Tianjin, China

    Yang Zhao, Zheng Gao, Yongtao Ma, Kaihua Liu & Jianfu Teng

Authors
  1. Yang Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zheng Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yongtao Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kaihua Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jianfu Teng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zheng Gao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, Y., Gao, Z., Ma, Y. et al. Localization Performance Analysis for Passive UHF RFID Technology Employing Directional Antennas and Omnidirectional Antennas. Int J Wireless Inf Networks 24, 50–55 (2017). https://doi.org/10.1007/s10776-016-0328-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10776-016-0328-x

Keywords

Search

Navigation