Unscented Kalman filter for SINS alignment
Autor: | Zhou Zhanxin, Chen Liabin, Gao Yanan |
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Rok vydání: | 2007 |
Předmět: |
Engineering
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputerApplications_COMPUTERSINOTHERSYSTEMS Kalman filter Invariant extended Kalman filter Computer Science::Robotics Extended Kalman filter Computer Science::Systems and Control Filter (video) Control theory Fast Kalman filter Unscented transform business Alpha beta filter Inertial navigation system |
Zdroj: | Journal of Systems Engineering and Electronics. 18:327-333 |
ISSN: | 1004-4132 |
Popis: | In order to improve the filter accuracy for the nonlinear error model of strapdown inertial navigation system (SINS) alignment, Unscented Kalman Filter (UKF) is presented for simulation with stationary base and moving base of SINS alignment. Simulation results show the superior performance of this approach when compared with classical suboptimal techniques such as extended Kalman filter in cases of large initial misalignment. The UKF has good performance in case of small initial misalignment. |
Databáze: | OpenAIRE |
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