Volume 37 Issue 3
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Article Navigation >  Chinese Journal of Space Science  > 2017  >  37(3): 322-331
NING Xiaolin, LI Zhuo, HUANG Panpan, YANG Yuqing. Comparison of Adaptive Filter for Celestial Navigation during Approach Phase[J]. Chinese Journal of Space Science, 2017, 37(3): 322-331. doi: 10.11728/cjss2017.03.322
Citation: NING Xiaolin, LI Zhuo, HUANG Panpan, YANG Yuqing. Comparison of Adaptive Filter for Celestial Navigation during Approach Phase[J]. Chinese Journal of Space Science, 2017, 37(3): 322-331. doi: 10.11728/cjss2017.03.322
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Comparison of Adaptive Filter for Celestial Navigation during Approach Phase

doi: 10.11728/cjss2017.03.322

  • 1. School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191;

  • 2. School of Civil and Environmental Engineering, University of New South Wales, Sydney 2052, Australia

  • Received Date: 2016-04-23
  • Rev Recd Date: 2016-11-11
  • Publish Date: 2017-05-15
    Abstract
  • Celestial navigation is an autonomous navigation method for deep space mission, which has been wildly researched. In celestial navigation, nonlinear Kalman filters such as Unscented Kalman Filter (UKF) are usually used. However, for traditional nonlinear Kalman filter, the system model errors should be Gaussian noise and their statistical characteristics should be known. However, the information is usually unknown and the system model errors are usually time-varying in real system. Hence, many adaptive filters have been studied to solve this problem. In this paper, three adaptive filters based on adjusting the predicted state covariance matrix are compared by simulation. Before this, the system model errors of celestial navigation are also analyzed for the approach phase.

     

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