The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Wireless LAN Based Indoor Positioning Using Received Signal Fingerprint and Propagation Prediction Model

수신 신호 핑거프린트와 전파 예측 모델을 이용한 무선랜 기반 실내 위치추정

  • 김현수 (한국항공대학교 항공전자및정보통신공학부 정보통신공학전공) ;
  • 배지민 (한국항공대학교 항공전자및정보통신공학부 정보통신공학전공) ;
  • 최지훈 (한국항공대학교 항공전자및정보통신공학부 정보통신공학전공)
  • Received : 2013.09.02
  • Accepted : 2013.11.11
  • Published : 2013.12.31
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Abstract

In this paper, we propose a new indoor location estimation method which combines the fingerprint technique with the propagation prediction model. The wireless LAN (WLAN) access points (APs) deployed indoors are divided into public APs and private APs. While the fingerprint method can be easily used to public APs usually installed in fixed location, it is difficult to apply the fingerprint scheme to private APs whose location can be freely changed. In the proposed approach, the accuracy of user location estimation is improved by simultaneously utilizing public and private APs. Specifically, the fingerprint method is used to the received signals from public APs and the propagation prediction model is employed to the signals from private APs. The performance of the proposed method is compared with that of conventional indoor location estimation schemes through measurements and numerical simulations in WLAN environments.

본 논문에서는 핑거프린트(fingerprint)기법과 전파 예측 모델을 결합한 무선랜 기반 실내 위치추정 기법을 제안한다. 실내에 설치된 무선랜 AP(access point)는 공용 AP와 사설 AP로 구분되고, 설치 위치가 고정된 공용 AP의 경우 핑거프린트 방식을 적용하기 용이하지만 사설 AP의 경우 위치가 임의로 변경될 수 있으므로 핑거프린트 방식을 적용하기 힘들다. 제안된 방식에서는 공용 AP로부터 수신된 신호에 핑거프린트 방식을 적용하고, 사설 AP로부터 수신된 신호에 전파 예측 모델을 적용하여 공용 AP와 사설 AP를 모두 이용함으로써 위치 추정 정확도를 높인다. 무선랜 환경에서의 데이터 실측과 모의실험을 통해 기존 실내 위치 추정 방식과 제안된 방식의 성능을 비교한다.

Keywords

Acknowledgement

Supported by : 한국연구재단

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