Data association for PHD filter based on MHT

Proceedings of the 11th International Conference on Information Fusion, FUSION 2008

Volumn , Issue , 2008, Pages

  Wang, Yang ^a   Jing, Zhongliang ^a   Hu, Shiqiang ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Data association; Probability hypothesis density; Track oriented MHT

Indexed keywords

CONTROL THEORY; DATA FUSION; FAULT DETECTION; FUSION REACTIONS; INFORMATION FUSION; MONTE CARLO METHODS; PROBABILITY; TARGETS;

ADAPTIVE KALMAN FILTERS; CLUTTER ENVIRONMENTS; DATA ASSOCIATION; DATA ASSOCIATIONS; MANEUVERING TARGETS; MONTE CARLO SIMULATIONS; MULTIPLE HYPOTHESES TRACKING; PHD FILTERS; PROBABILITY HYPOTHESIS DENSITY; PROBABILITY HYPOTHESIS DENSITY FILTERS; STATISTIC MODELS; TRACK-ORIENTED MHT;

WAVE FILTERS;

EID: 56749153071     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2008.4632445     Document Type: Conference Paper

References (11)

1. Goodman, I. R. Mahler, R. and Nguyen, H., Mathematics of Data Fusion, Kluwer, Academic Publishers, 1997
2. Y. Bar-Shalom and T. E. Fortmann, Tracking and Data Association, San Diego, CA: Academic, 1988.
3. S. Blackman and R. Popoli, Design and Analysis of Modern Tracking Systems, Artech House, Norwood, MA, 1999.
4. Kurien T, Issues in the Design of Practical Multitarget Tracking Algorithms, Multitarget-Multisensor Tracking: Advanced Applications. Y Bar-Shalom(Ed), Norwood, MA: Artech House, 1990, Chap. 3.
5. R. Mahler, Multi-target Bayes filtering via first-order multi-target moments, IEEE Transactions on Aerospace and Electronic Systems, Vol. 39, No. 4 October 2003.
6. B. Vo, S. Singh, and A. Doucet, Sequential Monte Carlo implementation of the PHD filter for multi-target tracking, In Proc. Information Fusion, Cairns, Australia, 2003, pp.792-799.
7. Ba-Ngu Vo, The Gaussian Mixture Probability Hypothesis Density Filter, IEEE Transactions on Signal Processing, Vol. 54, No. 11, Nov 2006.
8. L. Lin, Y. Bar-Shalom and T. Kirubarajan, Data Association Combined with the Probability Hypothesis Density Filter for Multitarget Tracking, Signal and Data Processing of Small Targets 2004, edited by Oliver E. Drummond, Proceedings of SPIE Vol. 5428(SPIE, Bellingham, WA, 2004).
9. Kusha Panta, Ba-Ngu Vo, Sumeetpal Singh and Arnaud Doucet, Probability Hypothesis Density filter versus Multiple Hypothesis Tracking. Signal Processing, Sensor Fusion, and Target Recognition XIII, edited by Ivan Kadar, Proceedings of SPIE Vol. 5429 (SPIE, Bellingham, WA, 2004).
10. H. Zhou and K. S. P. Kumar. A "Current" Statistical Model and Adaptive Algorithm for Estimating Maneuvering Targets. AIAA Journal of Guidance, 7(5):596-602, Sept.-Oct. 1984.
11. John R. Hoffman, and Ronald P. S. Mahler, Multitarget Miss Distance via Optimal Assignment, IEEE Transactions on Systems, Man, and Cybernetics - PART A: Systems and Humans, Vol. 34, No.3, May 2004.