Multiple target tracking with symmetric measurement equations using unscented kalman and particle filters

Proceedings of the Annual Southeastern Symposium on System Theory

Volumn 36, Issue , 2004, Pages 195-199

  Leven, William F ^a   Lanterman, Aaron D ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Particle filter; SME; Symmetric measurement equations; Target tracking; Unscented Kalman filter

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONVERGENCE OF NUMERICAL METHODS; CORRELATION METHODS; FUNCTIONS; KALMAN FILTERING; MATHEMATICAL TRANSFORMATIONS; SPURIOUS SIGNAL NOISE;

PARTICLE FILTER; SYMMETRIC MEASUREMENT EQUATIONS (SME); TARGET TRACKING; UNSCENTED KALMAN FILTER;

TRACKING (POSITION);

EID: 3042740804     PISSN: None     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (11)

1. E. Kamen, "Multiple target tracking based on symmetric measurement equations," IEEE Trans. Automat. Contr., vol. 37, pp. 371-374, April 1992.
2. E. Kamen and C. Sastry, "Multiple target tracking using products of position measurements," IEEE Trans. Aerosp. Electron. Syst., vol. 29, no. 2, pp. 476-493, 1993.
3. S. J. Julier and J. K. Uhlmann, "New extension of the Kalman filter to nonlinear systems," in Proceedings of the SPIE. Orlando, FL: SPIE, Apr. 1997, pp. 182-193.
4. E. Wan and R. van der Merwe, Kalman Filtering and Neural Networks. Wiley, 2001, ch. 7.
5. S. J. Julier, J. K. Uhlmann, and H. F. Durrant-Whyte, "A new method for the nonlinear transformation of means and covariances in filters and estimators," IEEE Trans. Automat. Contr., vol. 45, no. 3, pp. 477-482, Mar. 2000.
6. S. J. Julier, "The scaled unscented transformation," in Proceedings of the 2002 American Control Conference, vol. 6, Anchorage, AK, May 2002, pp. 4555 - 4559.
7. T. Lefebvre, H. Bruyninckx, and J. D. Schuller, "Comment on 'A new method for the nonlinear transformation of means and covariances in filters and estimators' [and authors' reply]," IEEE Trans. Automat. Contr., vol. 47, pp. 1406- 1409, Aug. 2002.
8. A. Doucet, N. de Freitas, and N. Gordon, Sequential Monte Carlo Methods in Practice. Springer-Verlag, 2001.
9. E. Kamen and J. Su, Introduction to Optimal Estimation. Springer-Verlag, 1999.
10. E. Wan and R. van der Merwe, Recursive Bayesian Estimation Library. Beaverton, OR: OGI School of Science and Engineering, 2003.
11. F. Daum, "A Cramér-Rao bound for multiple target tracking," in Signal and Data Processing of Small Targets, O. Drummond, Ed., vol. SPIE Proc. 1481, Orlando, FL, April 1991, pp. 341-344.