Volume 30 Issue 1
Aug.  2021
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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

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  • Received Date: December 04, 2006
  • Revised Date: March 31, 2007
  • Available Online: August 05, 2021
  • 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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