Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Position Estimation of Chirp Spread Spectrum Node based on Unscented Kalman Filter

Unscented 칼만 필터 기반의 chirp spread spectrum 노드 위치 추정

  • 조현우 (포항공과대학 전자전기공학과) ;
  • 반성준 (포항공과대학 전자전기공학과) ;
  • 이영훈 (포항공과대학 전자전기공학과) ;
  • 전용주 (포항공과대학 전자전기공학과) ;
  • 김상우 (포항공과대학 전자전기공학과)
  • Published : 2009.05.07
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Abstract

Position estimation in indoor is significant problem, because GPS which is usually used for outdoor positioning cannot be utilized to indoor positioning. Sensor network can be a solution for the positioning. Recently, chirp spread spectrum(CSS) specified in IEEE 802.15.4a provides an ability of ranging. Based on the results of the ranging, a position of a CSS node can be calculated by using trilateration. In this case, Kalman filter can be applied to the trilateration because of the measurement noise. In this paper, we apply the unscented Kalman filter for the trilateration. The trilateration can be represented to a nonlinear state space equation, and the unscented Kalman filter is suitable for nonlinear state space equation. Through the experimental results. we show the accuracy of the estimated position.

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