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Wi-Fi RSSI 신호와 지자기 센서를 이용한 실내 위치 추정

Indoor Location Estimation Using Wi-Fi RSSI Signals and Geomagnetic Sensors

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초록

Recently, indoor LBS has been attracting much attention because of its promising prospect. One of key technologies for its success is indoor location estimation. A popular one for indoor positioning is to find the location based on the strength of received Wi-Fi signals. Since the Wi-Fi services are currently prevalent, it can perform indoor positioning without any further infrastructure. However, it is found that its accuracy depends heavily on the surrounding radio environment. To alleviate this difficulty, we present a novel indoor position technique employing the geomagnetic characteristics as well as Wi-Fi signals. The geomagnetic characteristic is known to vary according to the location. Therefore, employing the geomagnetic signal in addition to Wi-Fi signals is expected to improve the location estimation accuracy.

Abstract

Recently, indoor LBS has been attracting much attention because of its promising prospect. One of key technologies for its success is indoor location estimation. A popular one for indoor positioning is to find the location based on the strength of received Wi-Fi signals. Since the Wi-Fi services are currently prevalent, it can perform indoor positioning without any further infrastructure. However, it is found that its accuracy depends heavily on the surrounding radio environment. To alleviate this difficulty, we present a novel indoor position technique employing the geomagnetic characteristics as well as Wi-Fi signals. The geomagnetic characteristic is known to vary according to the location. Therefore, employing the geomagnetic signal in addition to Wi-Fi signals is expected to improve the location estimation accuracy.

참고문헌 (11)

  1. 송진우, "WLAN 기반 실내 위치 측위에서 측위 정확도 향상을 위한 데이터 구축 방법", 대한임베디드공학회논문지, 7(2), pp.85~93 (2012), 대한임베디드공학회
  2. Y.J. Park, "Design and implementation of enhanced fingerprint locating algorithm for indoor Wi-Fi environment", pp.2013
  3. 권진세, "스마트폰의 블루투스와 초음파를 이용한 향상된 실내 영역 결정", 대한임베디드공학회논문지, 11(3), pp.135~141 (2016), 대한임베디드공학회[DOI]
  4. 정석민, "적외선 기반 실내 사용자 위치 추적 시스템", 전자공학회논문지 - CI, 42(5), pp.295~306 (2005), 대한전자공학회
  5. 허수정, "지구 자기장 기반의 Fingerprint 실내 위치추정 방법 연구", 한국통신학회논문지C, 38(1), pp.131~140 (2013), 한국통신학회
  6. 박진관, "선박 내부 위치 측위를 위한 시스템 설계", 한국통신학회논문지C, 38(2), pp.181~188 (2013), 한국통신학회
  7. 이병수, "삼변․삼각 측량 협업을 이용한 홈 웰니스 로봇의 자기위치인식에 관한 연구", 전기전자학회논문지, 18(1), pp.57~63 (2014), 한국전기전자학회[DOI]
  8. 손상현, "신뢰도 기반 Wi-Fi 핑거프린트 위치 추정 시스템", 한국통신학회논문지C, 38(6), pp.531~539 (2013), 한국통신학회
  9. Trend in technical development and standardization of indoor location based services, "J.J. Yoo", Electronics and Telecommunications Research Institute, ~ (2014)
  10. Y.G. Jeong, "A study on implementation of indoor positioning system based on wireless LAN", pp.2015

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