GNSS World of China

Volume 43 Issue 3
Jun.  2018
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QIANG Minghui, JIANG Wen. Application of Improved Adaptive Filtering Algorithm in BD／INS Integrated Navigation[J]. GNSS World of China, 2018, 43(3): 1-6. doi: 10.13442/j.gnss.1008-9268.2018.03.001
Citation: QIANG Minghui, JIANG Wen. Application of Improved Adaptive Filtering Algorithm in BD／INS Integrated Navigation[J]. GNSS World of China, 2018, 43(3): 1-6. doi: 10.13442/j.gnss.1008-9268.2018.03.001
shu

Application of Improved Adaptive Filtering Algorithm in BD／INS Integrated Navigation

doi: 10.13442/j.gnss.1008-9268.2018.03.001
  • 1.

    College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

  • 2.

    Key Laboratory of Gansu Advanced Control for Industrial Process, Lanzhou University of Technology, Lanzhou 730050, China

  • 3.

    National Demonstration Center for Experimental Electrical and Control Engineering Education,Lanzhou University of Technology, Lanzhou 730050, China

  • Publish Date: 2018-09-05
    Abstract
  • Since the navigation performance and robustness of the integrated navigation system which combines the BeiDou and inertial navigation system are poor,the paper proposes a new algorithm under uncertainty noise interference, which bases on the attenuation factor and noise weighted adaptive Kalman filter technology. The paper first conducts simulation experiments with Matlab,comparing the traditional Kalman filter technology to verify the effectiveness of the new algorithm.Then the data postprocessing experiment of UAV is carried out. The results show that the improved adaptive filter algorithm can effectively increase the interference immunity of the integrated navigation system, thus improving the navigation performance and robustness.

     

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    • References(10)
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