Volume 27 Issue 8
Aug.  2012
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Article Navigation >  Journal of Aerospace Power  > 2012  >  27(8): 1734-1737
FU Hui-min, WU Yun-zhang, LOU Tai-shan. Adaptive extended incremental Kalman filter method[J]. Journal of Aerospace Power, 2012, 27(8): 1734-1737.
Citation: FU Hui-min, WU Yun-zhang, LOU Tai-shan. Adaptive extended incremental Kalman filter method[J]. Journal of Aerospace Power, 2012, 27(8): 1734-1737.
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Adaptive extended incremental Kalman filter method

  • Research Center of Small Sample Technology, Beijing University of Aeronautics and Astronautics,Beijing 100191,China

  • Received Date: 2012-02-29
  • Publish Date: 2012-08-28
    Abstract
  • Based on extended incremental Kalman filter (EIKF) and adaptive incremental Kalman filter (AIKF), the adaptive extended incremental Kalman filter (AEIKF) and analysis method were put forward, the key calculative steps were established. The measurement equations have many uncertainties and can't obtain precision parameters in actual environment(such as deep space exploration). Due to environmental factors and the instability of measurement equipments, the measurement data have unknown time-varying system errors in actual engineering, which leads to greater Kalman filtering error. Ultimately, the convergence of Kalman filter were reduced. The presented adaptive extended incremental Kalman filter method can successfully eliminate these unknown system errors. The method can estimate statistical characteristics of noise in real time and greatly improve the accuracy of filter. The method is simple to calculate and easy to apply in engineering.

     

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