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http://dx.doi.org/10.12815/kits.2018.17.5.160

A Study on Improvement of Indoor Positioning Accuracy Using Diagonal Survey Method  

Jeong, Hyun gi (Dept. of Computer Eng., Univ. of Inha)
Park, Tae hyun (R&D Center, Dept. of R&D, NPC CO., LTD.)
Kwon, Jang woo (Dept. of Computer Eng., Univ. of Inha)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.17, no.5, 2018 , pp. 160-172 More about this Journal
Abstract
The method of estimating a position using a GPS has been applied to various fields including a navigation system of an automobile. However, since it is difficult to measure GPS signals indoors, it is difficult to locate specific objects indoors such as a building or factory. To overcome these limitations, this study proposes a system for object location estimation based on Bluetooth5 for the management of materials in factories. The object position estimation system consists of a Bluetooth signal generator, a receiver, and a database server. A signal generator based on Bluetooth Low Energy(BLE) is attached to the material and a receiver is appropriately arranged inside the factory. In this study, we propose "Diagonal Survey Method", a 4 - axis survey algorithm using four receivers to reduce the error of existing trilateration method. The proposed algorithm showed good performance compared to the conventional trilateration and we verified the effectiveness of the proposed system and algorithm by performing the experiment by installing the system in the factory.
Keywords
IoT; Bluetooth; Trilateration; Smart factory systems; location estimation;
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Times Cited By KSCI : 1  (Citation Analysis)
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