Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Realization of TDoA based Position Tracking Algorithm using Adaptive Fading Kalman Filter

적응형 칼만 필터를 이용한 TDoA 기반 정밀 위치 추정 알고리즘 구현

  • Sung, Wook-Jin (SungKyunKwan University, School of Electronics, Electrical, and Computer Engineering) ;
  • Choi, Seoung-Ok (SungKyunKwan University, School of Electronics, Electrical, and Computer Engineering) ;
  • You, Kwan-Ho (SungKyunKwan University, School of Electronics, Electrical, and Computer Engineering)
  • 성욱진 (성균관대학교, 전자전기컴퓨터공학과) ;
  • 최승옥 (성균관대학교, 전자전기컴퓨터공학과) ;
  • 유관호 (성균관대학교, 전자전기컴퓨터공학과)
  • Published : 2008.07.16
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Abstract

Extended Kalman Filter(EKF) is widely used in tracking position of nonlinear system. but there exists a divergence problem caused by approximation of nonlinear system's linearization. Adaptive fading Kalman filter (AFKF) is one of the effective methods which employs suboptimal fading factors to solve the divergence problem in an EKF In this paper we present an improved TDoA (time difference of arrival) based position tracking by using AFKF.

Keywords