대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

적응형 칼만 필터를 이용한 TDoA 기반 정밀 위치 추정 알고리즘 구현

Realization of TDoA based Position Tracking Algorithm using Adaptive Fading Kalman Filter

  • 성욱진 (성균관대학교, 전자전기컴퓨터공학과) ;
  • 최승옥 (성균관대학교, 전자전기컴퓨터공학과) ;
  • 유관호 (성균관대학교, 전자전기컴퓨터공학과)
  • 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)
  • 발행 : 2008.07.16
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드