Offline and real-time methods for ML-PDA track validation

IEEE Transactions on Signal Processing

Volumn 55, Issue 5 II, 2007, Pages 1994-2006

  Blanding, Wayne R ^a   Willett, Peter K ^a   Bar Shalom, Yaakov ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Extreme value theory; Maximum likelihood (ML); Probabilistic data association (PDA); Target tracking; Track validation

Indexed keywords

ALGORITHMS; GAUSSIAN DISTRIBUTION; MAXIMUM LIKELIHOOD ESTIMATION;

EXTREME VALUE THEORY; MAXIMUM-LIKELIHOOD PROBABILISTIC DATA ASSOCIATION (ML-PDA); VERY LOW OBSERVABLE (VLO);

TARGET TRACKING;

EID: 34247857403     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2007.893212     Document Type: Article

References (22)

1. Multitarget-Multisensor Tracking: Applications and Advances, Y. Bar-Shalom and W. Blair, Eds.. Boston, MA: Artech House, 2000.
2. Y. Bar-Shalom and X.-R. Li, Multitarget-Multisensor Tracking: Principles and Techniques. Storrs, CT: YBS Publishing, 1995.
3. W. Blanding, P. Willett, Y. Bar-Shalom, and R. Lynch, "Covert sonar tracking," in Proc. IEEE Aerospace Conf., Big Sky, MT, Mar. 2005, pp. 2053-2062.
4. W. Blanding, P. Willett, Y. Bar-Shalom, and R. Lynch, "Directed subspace search ML-PDA with application to active sonar tracking," IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 4, Oct. 2007, to be published.
5. S. Buzzi, M. Lops, and L. Venturino, "Track-before-detect procedures for early detection of moving target from airborne radars," IEEE Trans. Aerosp. Electron. Syst., vol. 41, no. 3, pp. 937-954, Jul. 2005.
6. H. David, Order Statistics. New York: Wiley, 1970.
7. A. Dempster, N. Laird, and D. Rubin, "Maximum-likelihood from incomplete data via the EM algorithm," J. R. Statist. Soc. Ser. B vol. 39, pp. 1-38, 1977.
8. P. Embrechts, C. Kluppelberg, and T. Mikosch, Modelling Extremal Events. Berlin, Germany: Springer-Verlag, 1997.
9. R. Gray and L. Davisson, Random Processes. Englewood Cliffs, NJ: Prentice-Hall, 1986.
10. E. Gumbel, Statistics of Extremes. New York: Columbia Univ. Press, 1958.
11. C. Jauffret and Y. Bar-Shalom, "Track formation with bearing and frequency measurements in clutter," IEEE Trans. Aerosp. Electron. Syst., vol. 26, no. 6, pp. 999-1010, Nov. 1990.
12. L. Johnston and V. Krishnamurthy, "Performance analysis of a dynamic programming track before detect algorithm," IEEE Trans. Aerosp. Electron. Syst., vol. 38, no. 1, pp. 228-242, Jan. 2002.
13. T. Kirubarajan and Y. Bar-Shalom, "Low observable target motion analysis using amplitude information," IEEE Trans. Aerosp. Electron. Syst., vol. 32, no. 4, pp. 1367-1384, Oct. 1996.
14. E. Lehmann and J. Romano, Testing Statistical Hypotheses, 3rd ed. New York: Springer-Verlag, 2005.
15. A. Papolis and S. Pillai, Probability, Random Variables and Stochastic Processes, 4th ed. New York: McGraw-Hill, 2002.
16. R. Redner and H. Walker, "Mixture densities, maximum likelihood and the EM algorithm," Soc. Ind. Appl. Math. Rev., vol. 26, pp. 195-239, Apr. 1984.
17. B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications. Boston, MA: Artech House, 2004.
18. M. Rutten, B. Ristic, and N. Gordon, "A comparison of particle filters for recursive track-before-detect," in Proc. 8th Int. Conf. Inf. Fusion, Philadelphia, PA, Jul. 2005, CDROM.
19. L. Stone, C. Barlow, and T. Corwin, Bayesian Multiple Target Tracking Boston, MA: Artech House, 1999.
20. S. Tortissen and Y. Bar-Shalom, "Maximum likelihood track-before-detect with fluctuating target amplitude," IEEE Trans. Aerosp. Electron. Syst., vol. 34, pp. 796-809, Jul. 1998.
21. S. Tonissen and R. Evans, "Performance of dynamic programming techniques for track-before-detect," IEEE Trans. Aerosp. Electron. Syst., vol. 32, pp. 1440-1450, Oct. 1996.
22. H. Van Trees, Detection, Estimation, and Modulation Theory Part III New York: Wiley, 2001.