Improving IMES Localization Accuracy by Integrating Dead Reckoning Information

Kenjiro Fujii; Hiroaki Arie; Wei Wang; Yuto Kaneko; Yoshihiro Sakamoto; Alexander Schmitz; Shigeki Sugano

doi:10.3390/s16020163

Sensors (Jan 2016)

Improving IMES Localization Accuracy by Integrating Dead Reckoning Information

Kenjiro Fujii,
Hiroaki Arie,
Wei Wang,
Yuto Kaneko,
Yoshihiro Sakamoto,
Alexander Schmitz,
Shigeki Sugano

Affiliations

Kenjiro Fujii: Hitachi Industrial Equipment Systems Co., Ltd., 3 Kanda-neribei-cho, Chiyoda-ku, Tokyo 101-0022, Japan
Hiroaki Arie: Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
Wei Wang: Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
Yuto Kaneko: Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
Yoshihiro Sakamoto: Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
Alexander Schmitz: Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
Shigeki Sugano: Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan

DOI: https://doi.org/10.3390/s16020163
Journal volume & issue: Vol. 16, no. 2
p. 163

Abstract

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Indoor positioning remains an open problem, because it is difficult to achieve satisfactory accuracy within an indoor environment using current radio-based localization technology. In this study, we investigate the use of Indoor Messaging System (IMES) radio for high-accuracy indoor positioning. A hybrid positioning method combining IMES radio strength information and pedestrian dead reckoning information is proposed in order to improve IMES localization accuracy. For understanding the carrier noise ratio versus distance relation for IMES radio, the signal propagation of IMES radio is modeled and identified. Then, trilateration and extended Kalman filtering methods using the radio propagation model are developed for position estimation. These methods are evaluated through robot localization and pedestrian localization experiments. The experimental results show that the proposed hybrid positioning method achieved average estimation errors of 217 and 1846 mm in robot localization and pedestrian localization, respectively. In addition, in order to examine the reason for the positioning accuracy of pedestrian localization being much lower than that of robot localization, the influence of the human body on the radio propagation is experimentally evaluated. The result suggests that the influence of the human body can be modeled.

Published in Sensors

ISSN: 1424-8220 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Chemical technology
Website: http://www.mdpi.com/journal/sensors

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