Unscented Particle Filter algorithm based on artificial fish swarm algorithm
| Autor: | Yu-min Tian, Li Chen |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Computer Science::Robotics
Global optimum Unscented particle filter Control theory Computer science ComputingMethodologies_MISCELLANEOUS Computer Science::Neural and Evolutionary Computation MathematicsofComputing_NUMERICALANALYSIS Swarming (honey bee) Swarm behaviour Kalman filter Algorithm Auxiliary particle filter |
| Zdroj: | ICNC |
| DOI: | 10.1109/icnc.2012.6234707 |
| Popis: | Aiming at the problem of Unscented Particle Filter(UPF) algorithm such as particles degeneracy and particles impoverishment, by use of the behaviors of preying, swarming and following in the artificial fish swarm algorithm, an artificial fish swarm algorithm is used to make the particles of UKF move toward the global optimum, which optimalizes the resampling process and relieves the problem of particles degeneracy and impoverishment. Experiments show that this algorithm improves the estimation accuracy of UPF algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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