대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2008년도 제39회 하계학술대회
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- Pages.1757-1758
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- 2008
적응형 칼만 필터를 이용한 TDoA 기반 정밀 위치 추정 알고리즘 구현
Realization of TDoA based Position Tracking Algorithm using Adaptive Fading Kalman Filter
- 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
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.
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