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Adaptive Estimate of Noise Covariance Matrix in Kalman Filter

CHEN Xiao min1, LI Xiao hui2   

  1. 1. Department of Foundation, Jiaozuo University, Jiaozuo 454000, Henan Province, China;2. National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China
  • Received:2008-07-02 Revised:1900-01-01 Online:2009-05-26 Published:2009-06-23
  • Contact: LI Xiao hui

Abstract: An adaptive update method of noise covariance is given. This method needn’t input the noise parameters, the noise parameter can automatically renew according the change of the noise in recursion. This method was checked with origin measure data of UTC(NTSC) and the time of rubidium atomic clock. The experiment results show that this method is better than general Kalman filter. 

Key words: prediction, Kalman filter, atomic clock

CLC Number: 

  • O4-34