Indoor Localization Algorithm Based on Particle Filter Optimization in NLOS Environment

  • Weiwei LiuEmail author
  • Tingting Liu
  • Lei Tang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


The performance of indoor localization algorithm is limited by non-line-of-sight (NLOS) error, a positioning system includes Bluetooth module, Bluetooth gateway and cloud monitoring center based on particle filter is presented to enhance positioning accuracy. Our experimental results indicate that the proposed localization scheme leads to higher localization accuracy and lower power consumption.


Localization Non-line-of-sight Particle filter 



This work is supported in part by the National Natural Science Foundation of China under Grant 61702258, in part by the China Postdoctoral Science Foundation under grant 2016M591852, in part by Postdoctoral research funding program of Jiangsu Province under grant 1601257C, in part by the China Scholarship Council Grant 201708320001 and the NJIT Foundation(Grant No. YKJ201419).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Nanjing Institute of TechnologyNanjingChina

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