Sequential Monte Carlo filtering techniques applied to integrated navigation systems

Proceedings of the American Control Conference

Volumn 6, Issue , 2001, Pages 4375-4380

  Nordlund, P J ^a   Gustafsson, F ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT; ALGORITHMS; COMPUTER SIMULATION; GLOBAL POSITIONING SYSTEM; INERTIAL NAVIGATION SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; PROBABILITY DENSITY FUNCTION; STATE ESTIMATION;

GAUSSIAN STRUCTURE; INTEGRATED NAVIGATION SYSTEMS; PARTICLE FILTER; SEQUENTIAL MONTE CARLO FILTERING TECHNIQUES;

KALMAN FILTERING;

EID: 0034845845     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2001.945666     Document Type: Conference Paper

References (11)

1. Particle filtering for partially observed Gaussian state space models
2. On sequential simulation-based methods for Bayesian filtering
3. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
4. Recursive state estimation of nonlinear systems with applications to integrated navigation