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An Improved Indoor Positioning Method Based on WiFi Fingerprinting

  

  1. 1. Scientific Research Academy, Shanghai Maritime University, Shanghai 201306, China;2. Key Laboratory of Marine Technology and Control Engineering Ministry of Communications, Shanghai Maritime University, Shanghai 201306, China

  • Received:2015-11-25 Online:2016-04-14 Published:2018-09-30

Abstract:

 In the prior inventions, WiFi fingerprint positioning system’s accuracy cannot be fully achieved resulting from the complexity and variability of indoor environment. This paper provides an improved method that can be adopted to increase the indoor positioning accuracy of handheld positioning device. Through analyzing how human body influences WiFi signal and how WiFi access points change at different locations, the said accuracy is achieved by increasing location fingerprint parameters including angle of the handheld device and the number of access points. The two parameters make our normal fingerprint database more abundant. The positioning test results from comparing the normal fingerprint database with the improved fingerprint database prove the later positioning more accurate.

Key words:

text-indent: 21pt">WiFi, LBS, indoor positioning, location fingerprint, signal strength

CLC Number: