Computer Science ›› 2018, Vol. 45 ›› Issue (10): 104-110.doi: 10.11896/j.issn.1002-137X.2018.10.020

• Network & Communication • Previous Articles     Next Articles

Adaptive Indoor Location Method for Multiple Terminals Based on Multidimensional Scaling

FU Xian-kai1,2,3, JIANG Xin-long1,2,3, LIU Jun-fa1,2,3, ZHANG Shao-bo4, CHEN Yi-qiang1,2,3   

  1. Center of Pervasive Computing System Research,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China 1
    Beijing Key Laboratory of Mobile Computing and Pervasive Device,Chinese Academy of Sciences,Beijing 100190,China 2
    University of Chinese Academy of Sciences,Beijing 100049,China 3
    School of Information Engineering,Chang’an University,Xi’an 710064,China 4
  • Received:2018-03-21 Online:2018-11-05 Published:2018-11-05

Abstract: Indoor location is a hot research topic in the field of pervasive computing.At present,indoor location methods are mainly divided into the localization method based on signal propagation model and the one based on wireless signal fingerprint.The fingerprint based method is more widely used because it does not need to know the location of the wireless signal AP.But it needs to collect a large amount of data at the offline stage to build a rich fingerprint database,which needs a lot of manual calibration.For this reason,this paper proposed a localization method based on spatial relations of fingerprints.Compared with the traditional fingerprint localization methods,this method does not need to build a fingerprint database.It uses Wi-Fi fingerprint from multiple terminals to extract the similarity of fingerprints and construct a dissimilarity matrix,and finally applies multidimensional scaling (MDS) algorithm to construct the relative location map for all terminals.Then each terminal can be positioned by determining the position of more than 3 terminals.In this paper,support vector regression (SVR) is used to calculate the distance between arbitrary terminals,and the distance matrix is used as the dissimilarity matrix.A shopping mall which is about 2500 square meter is selected as testing environment,and the average positioning error of the proposed method is about 7 meters.

Key words: Indoor positioning, Fingerprint location method, Multidimensional scaling, SVR

CLC Number: 

  • TP311
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