Single observer bearings-only tracking with the Unscented Kalman Filter

2004 International Conference on Communications, Circuits and Systems

Volumn 2, Issue , 2004, Pages 901-905

  Yi, Xu ^a   Li, Liping ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Bearings only tracking; Nonlinear system; Target motion analysis(TMA); The Extended Kalman Filter(EKF); The Unscented Kalman Filter(UKF)

Indexed keywords

KALMAN FILTERING; MATHEMATICAL MODELS; MATRIX ALGEBRA; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; RANDOM PROCESSES; SPURIOUS SIGNAL NOISE;

BEARINGS-ONLY TRACKING; TARGET MOTION ANALYSIS (TMA); THE EXTENDED KALMAN FILTER (EKF); THE UNSCENTED KALMAN FILTER (UKF);

BEARINGS (MACHINE PARTS);

EID: 11244323904     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Allen G. Lindgren and Kai F. Gong, Position and Velocity Estimation Via Bearing Observations, IEEE Trans. Aerosp. Electron. Syst., Vol. AES-14, pp. 564-577, July. 1978.
2. Vincent J. Aidala, Kalman Filter Behavior in Bearings-only Tracking Applications, IEEE Trans. Automat. Contr., Vol. AES-15, pp. 29-39, January. 1979.
3. Steven C. Nardone and Vincent J. Aidala, Observability Criteria For Bearings-Only Target Motion Analysis, IEEE Trans. Aerosp. Electron. Syst., Vol. AES-17, pp. 162-166, March. 1981.
4. Vassilios Petridis, a Method for Bearings-only Velocity and Position Estimation, IEEE Trans. Automat. Contr., Vol. AC-26, pp. 488-493, April. 1981.
5. S. Julier, J. Uhlmann, and H. Durrant-Whyte, A New Approach for Filtering Nonlinear Systems, presented at Proceedings of American Control Conference, Seattle, WA, pp. 1628-1632, 1995.
6. E. A. Wan and R. van der Merwe, The Unscented Kalman Filter for Nonlinear Estimation, in Proc. of IEEE Symposium 2000 (AS-SPCC), Lake Louise, Alberta, Canada, pp. 153-158, Oct. 2000.
7. S. Haykin, Adaptive Filter Theory, Prentice-Hall, Inc, fourth edition, 2002.