Auxiliary particle filters for tracking a maneuvering target

Proceedings of the IEEE Conference on Decision and Control

Volumn 4, Issue , 2000, Pages 3891-3895

  Karlsson, R ^a   Bergman, N ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DIGITAL FILTERS; MARKOV PROCESSES; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; NONLINEAR CONTROL SYSTEMS; RECURSIVE FUNCTIONS; SENSORS; STATE ESTIMATION;

AUXILIARY PARTICLE FILTERS; EXTENDED KALMAN FILTER; MONTE CARLO FILTERS; OPTIMAL RECURSIVE BAYESIAN FILTER; RECURSIVE STATE ESTIMATION;

KALMAN FILTERING;

EID: 0034438689     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Improved particle filter for non-linear problems
2. On sequential Monte Carlo sampling methods for Bayesian filtering
3. A novel approach to nonlinear / non-Gaussian Bayesian state estimation
4. Design of an interactive multiple model algorithm for air traffic control tracking
5. Multiple model estimation using the bootstrap filter
6. Filtering via simulation: Auxiliary particle filters