A particle filter algorithm for the multi-target probability hypothesis density

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5429, Issue , 2004, Pages 315-325

  Shoenfeld, Peter S ^a  

^a SCIENCE APPLICATIONS INTERNATIONAL CORPORATION   (United States)

Author keywords

Bayesian; Particle filter; Probability hypothesis density

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ESTIMATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; POISSON RATIO; PROBABILITY DENSITY FUNCTION; SET THEORY;

BAYESIAN; KALMAN-BASED ALGORITHMS; PARTICLE FILTER; PROBABILITY HYPOTHESIS DENSITY (PHD);

FILTRATION;

EID: 8844261968     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.544162     Document Type: Conference Paper

References (7)

1. P. Shoenfeld, PHS and WEA, SAIC Working Paper, 1996
2. I.R. Goodman, R.P.S. Mahler and H.T. Nguyen, Mathematics of Data Fusion, Kluwer, City, 1997.
3. L.D.Stone, Technical Description of Nodestar TMA, Metron report to DARPA ATO, 2003.
4. L.D.Stone, C.A.Barlow.T.L.Corwin, Bayesian Multiple Target Tracking, Artech House, City, 1999.
5. A. Doucet, N. de Freitas and N. Gordon, editors. Sequential Monte Carlo Methods in Practice, Springer-Verlag, City, 2001.
6. R.P.S. Mahler, Multitarget Bayes Filtering via First-Order Multitarget Moments, IEEE Trans. AES, Vol. 39, No. 4, 2003.
7. th Int'l Conf. on Information Fusion, Cairns, Australia, 2003