Numerical investigation of Gaussian filters with a combined type Bayesian filter for nonlinear state estimation
This study presents a numerical comparison of three filtering techniques for a nonlinear state estimation problem. We consider an Extended Kalman Filter (EKF), an Unscented Kalman Filter (UKF) and a combined type of Particle Filter, so-called Extended Particle Filter (EPF), for the state estimation...
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Main Authors: | , , |
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格式: | Article |
語言: | English |
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2018
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在線閱讀: | https://hdl.handle.net/10356/89841 http://hdl.handle.net/10220/47133 |
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機構: | Nanyang Technological University |
語言: | English |