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Volume 30 Issue 1
Aug.  2021
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Article Contents
LI Xiaoli, QIAN Xiaolong. Multiple model adaptive Kalman filter for the system without the knowledge of process noise[J]. Chinese Journal of Engineering, 2008, 30(1): 101-104. doi: 10.13374/j.issn1001-053x.2008.01.019
Citation: LI Xiaoli, QIAN Xiaolong. Multiple model adaptive Kalman filter for the system without the knowledge of process noise[J]. Chinese Journal of Engineering, 2008, 30(1): 101-104. doi: 10.13374/j.issn1001-053x.2008.01.019

Multiple model adaptive Kalman filter for the system without the knowledge of process noise

doi: 10.13374/j.issn1001-053x.2008.01.019
  • Received Date: 2006-12-05
  • Rev Recd Date: 2007-04-01
  • Available Online: 2021-08-06
  • To solve the bad transient response of a conventional adaptive Kalman filter, multiple Kalman filters based on different noise covariances and a conventional adaptive Kalman filter (AKF) were used to form a multiple model adaptive Kalman filter (MMAKF) by using a switching index function. Compared with a conventional AKF, the MMAKF could improve the transient response greatly without losing the characteristic of the conventional AKF.

     

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