Data assimilation in variable dimension dispersion models using particle filters

FUSION 2007 - 2007 10th International Conference on Information Fusion

Volumn , Issue , 2007, Pages

  Reddy, K V Umamaheswara ^a   Cheng, Yang ^a   Singh, Tarunraj ^a   Scott, Peter D ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

Bar sensor; Chem bio dispersion; Gaussian puff; Particle filter; Variable state dimensionality

Indexed keywords

AIR FILTERS; ATMOSPHERICS; CELLULAR RADIO SYSTEMS; CONCENTRATION (PROCESS); CONTROL THEORY; DATA FUSION; DISPERSION (WAVES); DISTRIBUTED COMPUTER SYSTEMS; FUSION REACTIONS; INFORMATION FUSION; NONLINEAR FILTERING; NUCLEAR PHYSICS; PARAMETER ESTIMATION; SIGNAL FILTERING AND PREDICTION; STATE SPACE METHODS; TARGET TRACKING; TWO DIMENSIONAL; WAVE FILTERS;

ATMOSPHERIC DISPERSION MODEL; BAR SENSOR; CHEM-BIO DISPERSION; DATA ASSIMILATION; DATA ASSIMILATION TECHNIQUES; DISPERSION MODELLING; GAUSSIAN; GAUSSIAN PUFF; HIGH-DIMENSIONAL SPACES; INTERNATIONAL CONFERENCES; NON LINEARITIES; OBSERVATION MODELS; PARTICLE FILTER; PARTICLE FILTER APPROACH; PARTICLE FILTERING; SENSOR READINGS; STATE-SPACE MODELING; VARIABLE STATE DIMENSIONALITY; VARIABLE-DIMENSION;

SENSOR DATA FUSION;

EID: 50149106783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2007.4408071     Document Type: Conference Paper

References (11)

1. S. Thykier-Nielsen, S.Deme, and T. Mikkelsen, "Description of the atmospheric dispersion module rimpuff," Riso National Laboratory, P.O.Box 49, DK-4000 Roskilde, Denmark, Tech. Rep. RODOS(WG2)-TN(98)-02, 1999.
2. A. H. Jazwinski, Stochastic Processes and Filtering Theory. San Diego, CA: Academic Press, 1970, ch. 4-7.
3. S. J. Julier, J. K. Uhlmann, and H. F. Durrant-Whyte, "A new approach for filtering nonlinear systems," in Proceedings of the American Control Conference, Seattle, WA, June 1995, pp. 1628-1632.
4. J. Lewis, S. Lakshmivarahan, and S. Dhall, Dynamic Data Assimilation: A Least Squares Approach. Cambridge, UK: Cambridge University Press, 2006.
5. G. Evensen, "The ensemble kalman filter: Theoritical formulation and practical implementation," Ocean Dynamics, vol. 53, pp. 343-367, 2003.
6. _, "Sampling strategies and square root analysis schemes for the enkf," Ocean Dynamics, vol. 54, pp. 539-560, 2004.
7. B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications. Boston, MA: Artech House, 2004, ch. 3.
8. F. Daum and J. Huang, "Curse of dimensionality and particle filters," in Proceedings of the IEEE Aerospace Conference, vol. 4, Big Sky, MT, March 2003, pp. 1979-1993.
9. K. V. U. Reddy, Y. Cheng, T. Singh, and P. D. Scott, "Data assimilation for dispersion models," in the Ninth International Conference on Information Fusion, Florence, Italy, July 2006.
10. P. Robins, V. Rapley, and P. Thomas, "A probabilistic chemical sensor model for data fusion," in the Eighth International Conference on Information Fusion, Philadelphia, PA, August 2005.
11. S. R.I., S. Parker, D. Henn, C. Cerasoli, and L. Santos, "PC-SCIPUFF Version 1.2PD Technical Documentation," Titan Research and Technology Division, Princeton, NJ, Tech. Rep. ARAP Report No. 718, 1998.