Indoor location estimation based on the RSS method using radial log-normal distribution

Kosuke Okusa, Toshinari Kamakura

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

4 Citations (Scopus)

Abstract

We study the problem of analyzing indoor location estimation by statistical radial distribution model. In this study, we suppose the observed distance data between transmitter and receiver as a radial log-normal distribution. We estimate the subject's location using marginal likelihoods of radial lognormal distribution. To demonstrate the effectiveness of our method, we conducted two sets of experiments, assessing the accuracy of location estimation of static case and dynamic case. In static experiment, subject is stationary state in some places in the chamber. This experiment is able to measure the precise performance of proposed method. In dynamic experiment, subject is move around in the chamber. This experiment is able to measure the suitability for practical use of proposed method. As a result, our method shows high accuracy for the static case indoor spatial location estimation.

Original languageEnglish
Title of host publicationCINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
EditorsAniko Szakal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-34
Number of pages6
ISBN (Electronic)9781467385206
DOIs
Publication statusPublished - Jan 13 2016
Event16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015 - Budapest, Hungary
Duration: Nov 19 2015Nov 21 2015

Publication series

NameCINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings

Other

Other16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015
CountryHungary
CityBudapest
Period11/19/1511/21/15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

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    Okusa, K., & Kamakura, T. (2016). Indoor location estimation based on the RSS method using radial log-normal distribution. In A. Szakal (Ed.), CINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings (pp. 29-34). [7382938] (CINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CINTI.2015.7382938