An improved real-time positioning method of indoor navigation system based on IEEE 802.11 wlan

Weizhe Li, Teh Lu Liao, Hang Hong Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a real-time indoor positioning system is designed and implemented to improve the indoor positioning problem. For the real-time positioning scheme, a new method based on a conventional fingerprinting algorithm adopts the signal of the existing accelerometer and gyroscope on the smartphone to generate statistics for the body shaking frequency caused by the user’s walking steps. Additionally, it transforms the frequency to the entire walking steps and distance, and compensates the original positioning coordinates, which are calculated by the conventional fingerprinting algorithm. Next, this system can be applied to the shortest path planning navigation system. In this paper, the Android software platform is used on the smartphone hardware to design and implement the proposed system. The implementation is verified by real-world simulation. Therefore, the designed system is complete and achieves its design goals.

Original languageEnglish
Title of host publicationWIT Transactions on Information and Communication Technologies
EditorsGuohui Yang
PublisherWITPress
Pages87-96
Number of pages10
ISBN (Electronic)9781845648770
DOIs
Publication statusPublished - 2014 Nov 1
Event2014 International Conference on Communication Technology and System, ICCTS 2014 - Shanghai, Kunshan, China
Duration: 2014 May 92014 May 10

Publication series

NameWIT Transactions on Information and Communication Technologies
Volume56
ISSN (Print)1743-3517

Other

Other2014 International Conference on Communication Technology and System, ICCTS 2014
CountryChina
CityShanghai, Kunshan
Period14-05-0914-05-10

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Computer Science(all)

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