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JPDAS Multi-Target Tracking Algorithm for Cluster Bombs Tracking
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 Title & Authors
JPDAS Multi-Target Tracking Algorithm for Cluster Bombs Tracking
Kim, Hyoung-Rae; Chun, Joo-Hwan; Ryu, Chung-Ho; Yoo, Seung-Oh;
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JPDAF is a method of updating target`s state estimation by using posterior probability that measurements are originated from existing target in multi-target tracking. In this paper, we propose a multi-target tracking algorithm for falling cluster bombs separated from a mother bomb based on JPDAS method which is obtained by applying fixed-interval smoothing technique to JPDAF. The performance of JPDAF and JPDAS multi-target tracking algorithm is compared by observing the average of the difference between targets` state estimations obtained from 100 independent executions of two algorithms and targets` true states. Based on this, results of simulations for a radar tracking problem that show proposed JPDAS has better tracking performance than JPDAF is presented.
Tracking;JPDAF(Joint Probabilistic Data Association Filter);JPDAS(Joint Probabilistic Data Association Smoothing);Fixed-Interval Smoothing;
 Cited by
D. B. Reid, "An algorithm for tracking multiple targets", IEEE Transactions on Automatic Control, vol. AC-24, no. 6, pp. 843-854, Dec. 1979.

T. E. Fortmann, Y. Bar-Shalom, and M. Scheffe, "Sonar tracking of multiple targets using joint probabilistic data association", IEEE Journal of Oceanic Engineering, vol. OE-8, no. 3, pp. 173-184, Jul. 1983.

A. K. Mahalanabis, B. Zhou, and N. K. Bose, "Imporved multi-target tracking in clutter by PDA smoothing", IEEE Transactions on Aerospace and Electronic Systems, vol. 26, no. 1, pp. 113-121, Jan. 1990. crossref(new window)

D. Simon, Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches, John Wiley & Sons, pp. 263-294, 2006.

H. E. Rauch, F. Tung, and C. T. Striebel, "Maximum likelihood estimates of linear dynamic systems", AIAA Journal, 3.8, pp. 1445-1450, 1965. crossref(new window)

P. Hedelin, "Can the zeros-lag filter be a good smoother?", IEEE Transactions on Information Theory, vol. 23, no. 4, pp. 490-499, Jul. 1977. crossref(new window)

R. Gessing, "Recursive smoothing for discrete-time systems as a filtering problem", IEE Proceedings D(Control Theory and Applications), vol. 131, no. 4, pp. 140-141, Jul. 1984. crossref(new window)

Y. Bar-Shalom, T. E. Fortmann, Tracking and Data Association, Academic Press Professional, Inc, pp. 150-156, 1987.

정광용, 위상 배열 다기능 레이다의 탄도탄 추적 필터 성능 분석, 한국전자파학회논문지, 23(8), pp. 995-1001, 2012년 8월.