Process-noise models for particle filtering under bounded forcing with unknown distribution

Proceedings of the American Control Conference

Volumn 5, Issue , 2001, Pages 3749-3754

  Weston, P F ^a   Norton, J P ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; RADAR TARGET RECOGNITION; TRACKING RADAR;

MONTE CARLO BAYESIAN STATE ESTIMATOR; PARTICLE FILTERING; POSTERIOR STATE DISTRIBUTION; PROCESS-NOISE MODELS;

AIR FILTERS;

EID: 0034848829     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2001.946219     Document Type: Conference Paper

References (2)

1. Novel approach to nonlinear / non-gaussian bayesian state estimation
2. Interacting multiple model methods in target tracking: A survey