Indoor positioning based on experimental space segmentation method

In this paper, we proposed experimental space segmentation method for WLAN indoor positioning. Experiments in a real WLAN environment indicate that the proposed method leads to substantial improvements in the localization accuracy in comparison to positioning methods with similar requirements. The a...

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Published in:2014 22nd Telecommunications Forum Telfor (TELFOR) pp. 248 - 251
Main Authors: Simic, Mirjana, Stojkovic, Nikola
Format: Conference Proceeding
Language:English
Published: IEEE 01-11-2014
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Abstract In this paper, we proposed experimental space segmentation method for WLAN indoor positioning. Experiments in a real WLAN environment indicate that the proposed method leads to substantial improvements in the localization accuracy in comparison to positioning methods with similar requirements. The approach is conceptually simple, easy to implement, and does not require any additional hardware.
AbstractList In this paper, we proposed experimental space segmentation method for WLAN indoor positioning. Experiments in a real WLAN environment indicate that the proposed method leads to substantial improvements in the localization accuracy in comparison to positioning methods with similar requirements. The approach is conceptually simple, easy to implement, and does not require any additional hardware.
Author Simic, Mirjana
Stojkovic, Nikola
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  givenname: Mirjana
  surname: Simic
  fullname: Simic, Mirjana
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  organization: Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
– sequence: 2
  givenname: Nikola
  surname: Stojkovic
  fullname: Stojkovic, Nikola
  email: nikola.chupa24@gmail.com
  organization: Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
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Snippet In this paper, we proposed experimental space segmentation method for WLAN indoor positioning. Experiments in a real WLAN environment indicate that the...
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StartPage 248
SubjectTerms Cell-ID
Decision support systems
indoor positioning
space segmentation
Telecommunications
WLAN
Title Indoor positioning based on experimental space segmentation method
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