Region-based massive positioning method using Bluetooth low energy

Seong-Beom Jeong; Yeong-Jae Shin; Soo-Hwan Lee; Ju-Hyeon Seong; Dong-Hoan Seo

doi:10.5916/jamet.2021.45.6.425

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자료유형: 학술저널

저자정보: Seong-Beom Jeong (Korea Maritime & Ocean University) Yeong-Jae Shin (Korea Maritime & Ocean University) Soo-Hwan Lee (Korea Maritime & Ocean University) Ju-Hyeon Seong (Korea Maritime & Ocean University) Dong-Hoan Seo (Korea Maritime & Ocean University)

저널정보: 한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제45권 제6호

발행연도: 2021.12

수록면: 425 - 433 (9page)

DOI: 10.5916/jamet.2021.45.6.425

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Recently, owing to the increase in the “smartization” of large-scale conventions and manpower-intensive industries, a Bluetooth low energy (BLE) method using a beacon, i.e., a low-cost wireless communication system, is being actively researched for a positioning system. A BLE method uses a low-power device and has a large standard deviation of signal strength compared to other wireless communication methods, so it is not easy to estimate the location accurately. In addition, it is essential to consider the computation in a positioning system in a densely populated environment. Therefore, we propose a region-based massive positioning method using BLE that enables a densely positioning method by reducing the weight of the algorithm and resolving the standard deviation of the signal strength. The proposed method estimates the distance based on the log-distance path loss model, and creates a region of existing (ROE) that does not require the existing least-squares method. The ROE, which indicates the possibility of an object"s existence, is weighted based on the signal strength, and the proposed method minimizes operations by stacking ROEs. Moreover, the location is estimated through ROE pooling. The proposed method has an average error distance of 4.8 m, and it is confirmed that the position accuracy is 96.27%, showing excellent performance.

#BLE #Positioning system #Region of existing #Massive positioning #Log-distance

참고문헌 (26)

참고문헌 신청

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