Objective functions for bayesian control-theoretic sensor management, 1: Multitarget first-moment approximation

IEEE Aerospace Conference Proceedings

Volumn 4, Issue , 2003, Pages 1905-1923

  Mahler, Ronald ^a  

^a Lockheed Martin NEandSS Tactical Systems   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN PARADIGM; COMPUTATIONAL APPROACH; MAHALANOBIS DISTANCES; MOMENT APPROXIMATION; MULTI-TARGET FILTERING; OBJECTIVE FUNCTIONS; PROBABILITY OF DETECTION; SENSOR MANAGEMENT;

OPTIMIZATION;

SENSORS;

EID: 84869817268     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2003.1235121     Document Type: Conference Paper

References (21)

1. Y. Bar-Shalom and X.-R. Li, Estimation and Tracking: Principles, Techniques, and Software, Ann Arbor: Artech House, 1993
2. I.R. Goodman, R.P.S. Mahler, and H.T. Nguyen, Mathematics of Data Fusion, New York: Kluwer Academic Publishers, 1997
3. Y.C. Ho and R.C.K. Lee, "A Bayesian Approach to Problems in Stochastic Estimation and Control," IEEE Trans. Automatic Contr., 9, 333-339, 1964
4. A.H. Jazwinski, Stochastic Processes and Filtering Theory, New York: Academic Press, 1970
5. K. Kastella (1996) "Discrimination gain for sensor management in multitarget detection and tracking," Proc. 1996 I MACS Multiconf. on Comp. and Eng. Appl. (CESA'96): Symp. on Contr., Opt., and Supervision, Lille France, July 9-12 1996, 167-172, 1996
6. D.J. Ballantyne, H.Y. Chan, and M.A. Kouritzin, "A branching particle-based nonlinear filter for multi-target tracking," Proc. 2001Int'I Conf. on Information Fusion, Aug. 7-10 2001, Montreal
7. R. Mahler, "Engineering Statistics for Multi-Object Tracking," Proc. 2001 IEEE Workshop on Multi-Object Tracking, July 8, 2001, Vancouver, 53-60, ISBN 0-76951171-6
8. R. Mahler, "An extended first-order Bayes filter for force aggregation," in O. Drummond (ed.), Signal and Data Processing of Small Targets 2002, SPIE Vol. 4728, 196207, 2002
9. R. Mahler, "Global posterior densities for sensor management," in MK. Kasten and L.A. Stockum (eds.), Acquisition, Tracking, and Pointing XII, SPIE Vol. 3365, 252263,1998
10. R. Mahler, "Global Optimal Sensor Allocation," Proc. Ninth Nat'l Symp. on Sensor Fusion, Vol. I (Unclassified), Mar. 12-14 1996, Naval Postgraduate School, Monterey CA, 347-366
11. R Mahler, "Information Theory and Data Fusion," Proc. Eighth Nat'l Symp. on Sensor Fusion, Vol. I (Unclassified), Dallas TX, March 15-17 1995, ERIM Ann Arbor, 279-292
12. R. Mahler, An Introduction to Multisource-Multitarget Statistics and Its Applications, Lockheed Martin Technical Monograph, Mar. 15, 2000, 114 pages
13. R Mahler, "Multisensor-Multitarget Sensor Management: A Unified Bayesian Approach," in I. Kadar (ed.) Signal Processing, Sensor Fusion, and Target Recognition XII, 2003, to appear
14. R. Mahler, "Multitarget moments and their application to multitarget tracking," Proc. Workshop on Estimation, Tracking, and Fusion: A Tribute to Yaakov Bar-Shalom, May 17, 2001, Naval Postgraduate School, Monterey, CA, 134-166
15. R Mahler, "Multitarget Markov motion models," in I. Kadar (ed.) Signal Processing, Sensor Fusion, and Target Recognition VIII., SPIE Vol. 3720, 47-58,1999
16. R. Mahler, "Random Set Theory for Target Tracking and Identification," in D.L. Hall and J. Llinas (eds.), Handbook of Multisensor Data Fusion, Boca Raton FL: CRC Press, Chapter 14, 2002
17. R. Mahler, "A theoretical foundation for the Stein-Winter 'Probability Hypothesis Density (PHD)' multitarget tracking approach," Proc. 2000 MSS Nat 7 Symp. On Sensor and Data Fusion, Vol. I (Unclassified), Kelly AFB, San Antonio TX, June 20-22 2000, DTIC/IRIA Oct. 2000, 440000-185-X(I), 99-118
18. R. Mahler, "A unified foundation for data fusion," in F.A. Sadjadi (ed.), Selected Papers on Sensor and Data Fusion, SPIE Vol. MS-124, 1996, 325-345, 1996; reprinted from Seventh Joint Service Data Fusion Symposium, Laurel, MD, 1994, 154-174
19. R. Mahler and T. Zajic, "Bulk multitarget tracking using a first-order multitarget tracking filter," in I. Kadar (ed.), Signal Processing, Sensor Fusion, and Target Recognition XI, SPIE Vol. 4729, pp. 175-186, 2002
20. S. Musick, K. Kastella, and R. Mahler, "A practical implementation of joint multitarget probabilities," in I. Kadar (ed.) Signal Processing, Sensor Fusion, and Target Recognition VII, SPIE Vol. 3374, 26-37, 1998
21. H.W. Sorenson, "Recursive Estimation for Nonlinear Dynamic Systems," in J.C. Spall (ed.), Bayesian Analysis of Statistical Time Series and Dynamic Models, New York: Marcel Dekker, 1988