MISSILES AND GUIDANCE TECHNOLOGY

An Algorithm for SINS/GPS Tightly Integrated Navigation Based on CDKF

  • GAO Yanbin ,
  • MA Tao ,
  • SUN Yao ,
  • GUO Jing
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  • 1 College of Automation, Harbin Engineering University, Harbin 150001, China
    2 Patent Examination Cooperation Center of the Patent Office, SIPO, Beijing 100190, China

Received date: 2012-05-09

  Online published: 2025-05-26

Abstract

The accuracy of SINS/GPS integrated navigation system will decline when there is a large initial misalignment angle. To solve the problem, a navigation algorithm based on center difference Kalman filter was proposed. For the sake of the synchronization of the attitude parameters and other parameters in the process of Sigma point sampling, Euler angle was chosen as attitude parameter. In order to avoid high computation and the complexity of transcendental equation solving, Euler angles were switched to quaternions when propagate following the system equation. The simulation results show that the proposed algorithm has a higher convergence speed and accuracy than the additive quaternion algorithm.

Cite this article

GAO Yanbin , MA Tao , SUN Yao , GUO Jing . An Algorithm for SINS/GPS Tightly Integrated Navigation Based on CDKF[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2013 , 33(4) : 1 -3,8 . DOI: 10.15892/j.cnki.djzdxb.2013.04.005

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