An Effective Phase-Based Localization Approach Under Multipath Environments

  • Yang Zhao
  • Kaihua Liu
  • Yongtao Ma
  • Liuji Zhou
  • Jinlong Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)


Multipath channel has always been a big challenge in accurate indoor localization based on Radio Frequency Identification (RFID) technique. To mitigate this problem, we present a simple but effective localization approach which utilizes Phase of Arrival (POA) as the measurement information and linear least squares as geometrical localization estimation algorithm. In this approach, we make an accurate phase extracting criterion and also propose a reasonable line of sight (LOS) computation method which depends on the addition of the reference tags. Experimental results show that the proposed approach can achieve a position error of about 1 m under multipath environments and is robust to the environmental dynamics.


Phase of arrival (POA) Linear least squares Reference tags Multipath environments 



This research is supported by research forums cooperation project of ZTE Corporation.


  1. 1.
    Seow CK, Tan SY (2008) Non-line-of-sight localization in multipath environments. IEEE Trans Mob Comput 7(5):647–660. doi: 10.1109/TMC.2007.70780 CrossRefGoogle Scholar
  2. 2.
    Setlur P, Smith GE, Ahmad F, Amin MG (2012) Target localization with a single sensor via multipath exploitation. IEEE Trans Aerosp and Electron Syst 48(3):1996–2014. doi: 10.1109/TAES.2012.6237575 CrossRefGoogle Scholar
  3. 3.
    Alsindi NA, Alavi B, Pahlavan K (2009) Measurement and modeling of ultrawideband TOA-based ranging in indoor multipath environments. IEEE Trans Veh Technol 58(3):1046–1058. doi: 10.1109/TVT.2008.926071 CrossRefGoogle Scholar
  4. 4.
    Steffes C, Rau S (2012) Multipath detection in TDOA localization scenarios. SDF 88–92. doi: 10.1109/-SDF.2012.6327914Google Scholar
  5. 5.
    Azzouzi S, Cremer M, Dettmar U, Kronberger R, Knie T (2011) New measurement results for the localization of UHF RFID transponders using an Angle of Arrival (AoA) approach. RFID 91–97. doi: 10.1109/RFID.2011.5764607Google Scholar
  6. 6.
    Steiner C, Wittneben A (2011) Efficient training phase for ultrawideband-based location fingerprinting systems. IEEE Trans Signal Process 59(12):6021–6032. doi: 10.1109/TSP.2011.2166390 CrossRefMathSciNetGoogle Scholar
  7. 7.
    Weiguang Shi (2011) Research of Indoor localization Algorithm based on Radio Frequency Identification Technology. Dissertation, Tianjin UniversityGoogle Scholar
  8. 8.
    Nikitin PV, Martinez R, Ramamurthy S, et al. (2010) Phase based spatial identification of UHF RFID tags. RFID 102 -109. doi: 10.1109/RFID.2010.5467253Google Scholar
  9. 9.
    Ni LM, Liu Y, Lau YC, Patil AP (2004) LANDMARC: indoor location sensing using active RFID. Wirel Netw 10(6):701–710. doi: 10.1023/B:WINE.0000044029.063-44.dd CrossRefGoogle Scholar
  10. 10.
    Cong L, Zhuang W (2002) Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems. IEEE Trans Wirel Commun 1(3):439–447. doi: 10.1109/TWC.2002.800542 CrossRefGoogle Scholar
  11. 11.
    Wang Z, Huang X, Yang W (2007) The measuring phase method of all-phase FFT. World Sci-Tech R & D 29(4):28–32. doi: 10.3969/j.issn.1006-6055.2007.04.006 MATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yang Zhao
    • 1
  • Kaihua Liu
    • 1
  • Yongtao Ma
    • 1
  • Liuji Zhou
    • 1
  • Jinlong Wang
    • 2
  1. 1.School of Electronic Information Engineering, Tianjin UniversityTianjinChina
  2. 2.ZTE CorporationTianjinChina

Personalised recommendations