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

Content Provider	IEEE Xplore Digital Library
Author	Okusa, K. Kamakura, T.
Copyright Year	2015
Description	Author affiliation: Dept. of Commun. Design Sci., Kyushu Univ., Fukuoka, Japan (Okusa, K.) \|\| Dept. of Ind. & Syst. Eng., Chuo Univ., Tokyo, Japan (Kamakura, T.)
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.
Starting Page	29
Ending Page	34
File Size	553111
Page Count	6
File Format	PDF
e-ISBN	9781467385206
DOI	10.1109/CINTI.2015.7382938
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-19
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Log-normal distribution Radio transmitters Estimation Receivers Least mean square methods Computational intelligence
Content Type	Text
Resource Type	Article

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