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

Kosuke Okusa; Toshinari Kamakura

doi:10.1109/CINTI.2015.7382938

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

Kosuke Okusa, Toshinari Kamakura

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 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 language	English
Title of host publication	CINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
Editors	Aniko Szakal
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	29-34
Number of pages	6
ISBN (Electronic)	9781467385206
DOIs	https://doi.org/10.1109/CINTI.2015.7382938
Publication status	Published - Jan 13 2016
Event	16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015 - Budapest, Hungary Duration: Nov 19 2015 → Nov 21 2015

Publication series

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

Other

Other	16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015
Country/Territory	Hungary
City	Budapest
Period	11/19/15 → 11/21/15

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Information Systems

Access to Document

10.1109/CINTI.2015.7382938

Cite this

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). Article 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

Indoor location estimation based on the RSS method using radial log-normal distribution. / Okusa, Kosuke; Kamakura, Toshinari.
CINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. ed. / Aniko Szakal. Institute of Electrical and Electronics Engineers Inc., 2016. p. 29-34 7382938 (CINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 7382938, CINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 29-34, 16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015, Budapest, Hungary, 11/19/15. https://doi.org/10.1109/CINTI.2015.7382938

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

Okusa, Kosuke ; Kamakura, Toshinari. / Indoor location estimation based on the RSS method using radial log-normal distribution. CINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. editor / Aniko Szakal. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 29-34 (CINTI 2015 - 16th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings).

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

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