Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
state estimation method |
| gptkbp:alternativeTo |
gptkb:unscented_Kalman_filter
particle filter |
| gptkbp:appliesTo |
aerospace
autonomous vehicles control systems GPS tracking |
| gptkbp:basedOn |
gptkb:Kalman_filter
|
| gptkbp:category |
recursive filter
Bayesian filter |
| gptkbp:estimatedCost |
nonlinear functions using Taylor expansion
|
| gptkbp:handles |
nonlinear measurement models
nonlinear process models |
| https://www.w3.org/2000/01/rdf-schema#label |
extended Kalman filter
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:limitation |
can diverge if linearization is poor
sensitive to model inaccuracies |
| gptkbp:linearizes |
system dynamics
measurement functions |
| gptkbp:requires |
Jacobian matrices
|
| gptkbp:usedFor |
gptkb:navigation
nonlinear systems robotics sensor fusion |
| gptkbp:bfsParent |
gptkb:Ensemble_Kalman_filter
|
| gptkbp:bfsLayer |
5
|