On the number of samples to be drawn in particle filtering

IEE Colloquium (Digest)

Volumn , Issue 90, 1999, Pages 21-26

  Boers, Y ^a  

^a THALES NEDERLAND B V   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUNCTIONS; MATRIX ALGEBRA; NONLINEAR FILTERING; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; RANDOM PROCESSES; VECTORS;

COMPUTATIONAL LOAD; DISCRETE DISTRIBUTION; PARTICLE FILTERING; STOCHASTIC DYNAMICAL SYSTEM;

KALMAN FILTERING;

EID: 6344294472     PISSN: 09633308     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (6)

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2. [gss] N.J. Gordon, D.J. Salmond and A.F.M. Smith. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEEE Proceedings-F, vol. 140, no.2, 1993.
3. [rui] A. Ruiz. A Nonlinear Bootstrap Filter for Target Tracking Filtering. Internal Report Hollandse Signaalapparaten b.v., RDT/980224/01, 1998.
4. [vid] M. Vidyasagar. Statistical learning theory and randomized algorithms for control. Control Systems vol. 18, no. 6, 1998.
5. 2 performance design by randomized algorithms. In proceedings of the 37th Conference on Decision and Control, Tampa Fl, 1998.
6. [ccf] J. Carpenter, P.Clifford and P. Fearnhead. Improved particle filter for nonlinear problems. IEE Proc.-Radar, Sonar Navig., vol. 146, no. 1, 1999.