Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (11): 38-42.doi: 10.16180/j.cnki.issn1007-7820.2019.11.008

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Research on Indoor Positioning Algorithm for Multi-distance Fusion

ZHU Zhilin,WANG Yinong,LIU Wenyu   

  1. School of Information and Electronic Engineering,Shandong Technology and Business University,Yantai 264005,China
  • Received:2018-11-18 Online:2019-11-15 Published:2019-11-15
  • Supported by:
    The CERNET Innovation Project(NGII20170626)


Currently, WiFi is frequently used in an indoor environment. The access point will be switched between two adjacent-AP, and a large number of WiFi access logs are cumulatively generated. WiFi access logs contain the received signal strength indication required for positioning, and accessing the data in the log by using the WiFi in the positioning system greatly simplifies the positioning and deployment complexity. This paper proposed a multi-distance fusion indoor positioning algorithm based on the WiFi log in two adjacent AP environments. The new algorithm was compared with the path loss model positioning method through experimental simulation. The experimental results show that the new algorithm had the characteristics of easy deployment, low cost and low complexity. When the number of training samples reached 300, the stable positioning effect could be achieved.

Key words: indoor positioning, WiFi, adjacent AP, received signal strength indication, path loss, multi distance fusion

CLC Number: 

  • TN926