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Journal of Systems Engineering and Electronics ›› 2007, Vol. 18 ›› Issue (2): 327-333.

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  • 出版日期:2007-06-25 发布日期:2010-01-03

Unscented Kalman filter for SINS alignment

Zhou Zhanxin, Gao Yanan & Chen Jiabin   

  1. Dept. of Automatic Control, Beijing Inst. of Technology, Beijing 100081, P. R. China
  • Online:2007-06-25 Published:2010-01-03

Abstract:

In order to improve the filter accuracy for the nonlinear error model of strapdown inertial navigation system (SINS) alignment, Unscented Kalman Filter (UKF) is presented for simulation with stationary base and moving base of SINS alignment. Simulation results show the superior performance of this approach when compared with classical suboptimal techniques such as extended Kalman filter in cases of large initial misalignment. The UKF has good performance in case of small initial misalignment.