Indoor Localization Technology Based on NLOS Identification and Offset and Improved Particle Filter

  • Jiaojiao Wang
  • Yu Zhao
  • Kaihua Liu
  • Yongtao Ma
  • Xiangxi Zeng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)


Due to the effect of non-line-of-sight (NLOS) propagation in harsh indoor environment, the accuracy of measured distance will drop sharply, and the inaccuracy of measurement will finally reduce the localization accuracy. This paper is conducted under the condition that environment map is known. Firstly identifying the state of the mobile node (MN), then adopting certain offset to mitigate positive biases introduced by NLOS propagation, at last introducing the current observation data in the process of prediction and resample of particle filter and use this improved particle filter (IPF) to track MN. Simulation results show that by using the proposed algorithm, the localization accuracy will be improved obviously.


Indoor location NLOS identification and offset Particle filter Least squares 



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


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jiaojiao Wang
    • 1
  • Yu Zhao
    • 1
  • Kaihua Liu
    • 1
  • Yongtao Ma
    • 1
  • Xiangxi Zeng
    • 2
  1. 1.School of Electronic Information EngineeringTianjin UniversityTianjinChina
  2. 2.ZTE CorporationTianjinChina

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