The Journal of Korean Institute of Information Technology (한국정보기술학회논문지)

Korean Institute of Information Technology (한국정보기술학회)
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Indoor Location Tracking System of Low Energy Beacon using Gaussian Filter

가우시안 필터를 이용한 저전력 비컨의 실내 위치 추적 시스템

  • 김미하 (한림대학교 컴퓨터공학과) ;
  • 김병관 (한림대학교 컴퓨터공학과) ;
  • 고영웅 (한림대학교 컴퓨터공학과) ;
  • 방기석 (한림대학교 기초교육대학)
  • Received : 2016.01.22
  • Accepted : 2016.03.07
  • Published : 2016.06.30
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Abstract

Recently, the indoor position tracking studies using communication technologies such as GPS, Wi-Fi, Bluetooth, and ZigBee have been in progress. But, there was a limitation in terms of high power consumption and low accuracy problem. The BLE(Bluetooth Low Energy) Beacon exploiting low-power technology is emerging, which increases the interest in the location tracking. However, RSSI values produced from BLE beacon show large deviation under the influence of the surrounding environment. With this problem, the accuracy of location estimation decreased. In this paper, we propose an enhanced location estimation scheme using the Gaussian filtering and the method of least squares to improve the accuracy of location tracking. In experimental results, the filtering method shows an improved accuracy, more than 20% compared to the conventional least square method.

최근 GPS, Wi-Fi, Bluetooth, ZigBee 등의 통신 기술들을 이용한 실내 위치 추적 연구가 진행되고 있다. 하지만, 높은 전력 소모량과 낮은 정확성이 문제가 되었다. 저전력 기술 기반의 BLE(Bluetooth Low Energy) 비컨이 등장하면서 전력 소모량의 문제를 해결하고 이를 이용한 실내위치추적에 대한 관심이 많아지고 있다. 하지만 BLE 비컨에서 생성된 RSSI 값은 주변 환경의 영향에 따라 편차가 발생되며 궁극적으로 위치 측정의 정확도가 낮아진다. 본 논문에서는 위치 추적의 정확도를 높이기 위하여 가우시안 필터와 최소제곱법을 적용한 개선된 위치 측정 기법을 제안하였다. 실험 결과, 제안하는 필터링 방식이 기존의 최소제곱 방식에 비해서 20% 이상 향상된 위치 측정 정확도를 보이고 있다.

Keywords

Acknowledgement

Supported by : 한림대학교

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