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선박의 WLAN 환경에서 K-최근접 이웃 알고리즘 기반 Fingerprinting 방식을 적용한 위치 추정 방법

Location Estimation Method Employing Fingerprinting Scheme based on K-Nearest Neighbor Algorithm under WLAN Environment of Ship

  • Kim, Beom-Mu (Department of Electronics Engineering, Mokpo National University) ;
  • Jeong, Min A (Department of Computer Engineering, Mokpo National University) ;
  • Lee, Seong Ro (Department of Information & Electronics Engineering, Mokpo National University)
  • 투고 : 2014.07.24
  • 심사 : 2014.09.12
  • 발행 : 2014.10.31

초록

GPS 신호가 도달하지 않는 실내 환경에서 위치를 추정하는 연구는 지금까지 많이 이루어져 왔다. 또한 추정 기법도 여러 가지 기법들이 제안되었다. 본 논문에서는 다층 구조의 선박에서 위치를 추정하는 문제를 심도있게 고찰하였고 K-최근접 이웃 알고리즘 기반 Fingerprint 기법에 의한 위치 추정 방법에 대해 알아보았다. Fingerprint 기법을 쓰기 위해 39개의 RP에서 각각 N=100회의 수신신호를 측정함으로써 신뢰성 있는 DB를 구축하였고 이를 토대로 임의의 위치에 있는 단말기의 위치를 추정하는 모의실험을 하였다. 모의실험을 통해 Fingerprint 기법에 의한 위치 추정 성능은 아주 우수함을 알 수 있었다.

Many studies have been made on location estimation under indoor environments which GPS signals do not reach, and, as a result, a variety of estimation methods have been proposed. In this paper, we deeply consider a problem of location estimation in a ship with a multi-story structure, and investigate a location estimation method using the fingerprint scheme based on the K-Nearest Neighbor algorithm. A reliable DB is constructed by measuring 100 received signals at each of 39 RPs in order to employ the fingerprint scheme, and, based on the DB, a simulation to estimate the location of a randomly-positioned terminal is performed. The simulation result confirms that the performance of location estimation by the fingerprint scheme is quite satisfactory.

키워드

참고문헌

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피인용 문헌

  1. A Location Estimation Method Using TDOA Scheme in Vessel Environment vol.19, pp.8, 2015, https://doi.org/10.6109/jkiice.2015.19.8.1934