Journal on Communications ›› 2017, Vol. 38 ›› Issue (5): 1-10.doi: 10.11959/j.issn.1000-436x.2017076

• Papers •     Next Articles

Indoor BLE and MEMS based multi-floor fusion positioning algorithm

Mu ZHOU1,2,Bin WANG1,Zeng-shan TIAN1,Qian-kun ZHANG1   

  1. 1 Chongqing Key Lab of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    2 Tianjin Key Laboratory of Wireless Mobile Communication and Radio Power Transmission,Tianjin Normal University,Tianjin 300387,China
  • Revised:2017-02-22 Online:2017-05-01 Published:2017-05-28
  • Supported by:
    The National Natural Science Foundation of China(61301126);The National Natural Science Foundation of China(61471077);Program for Changjiang Scholars and Innovative Research Team in University(IRT1299);Special Fund of Chongqing Key Laboratory (CSTC);Fundamental and Frontier Research Project of Chongqing (Key Project)(cstc2015jcyjBX0065);University Outstanding Achievement Transformation Project of Chongqing(KJZH17117)

Abstract:

Based on the data fusion from micro electro mechanical system (MEMS) sensors and low-power bluetooth (BLE),an indoor BLE and MEMS based multi-floor positioning algorithm was proposed.First of all,the affinity propagation clustering,outlier detection and received signal strength indicator (RSSI) filtering algorithms were applied to denoise the fingerprint database.Second,by using the extended Kalman filter,the robust M estimation algorithm was used to perform the optimal estimation of the two-dimensional target position.Finally,the barometer output and geographical position information was considered to realize the height estimation of the target.The experimental results show that the proposed system is able to achieve the horizontal and vertical positioning errors lower than 0.7 m and 0.35 m respectively in multi-floor fusion positioning.

Key words: indoor positioning, multi-floor,data fusion, BLE, MEMS

CLC Number: 

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