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Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 5: 129 - 132

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.05.025

Improved DAVAR Algorithm for Adaptive Window Based on Fractal Dimension

  • WANG Zishuai ,
  • LIU Xing ,
  • YAN Zhao ,
  • YANG Yinfang ,
  • YU Pei
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  • 1 School of Electronic Information Engineering, Xi'an Technological University, Xi'an 710021, China
    2 Northwest Industrial Group Co., Ltd., Xi'an 710043, China
    3 Xi'an North Electro-optic Scientific and Technology Co., Ltd., Xi'an 710043, China

Received date: 2021-06-09

  Online published: 2025-05-30

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Abstract

Aiming at the shortcomings of dynamic Allan variance (DAVAR) method in analyzing the output signal of MEMS gyroscope in a missileborne environment, such as power leakage and low noise identification accuracy, an improved DAVAR algorithm based on adaptive window of fractal dimension is proposed. The fractal dimension value is used to characterize the sudden change characteristics of random signals, the window length is changed in real time to intercept the signal, and the result is finally drawn in a threedimensional graph. The simulation experiment shows that the method can track the sudden change of the output of the gyro in real time, and accurately evaluate the change characteristics of the noise in the dynamic error.

Key words： MEMS gyro; dynamic Allan variance; fractal dimension; adaptive window

Cite this article

WANG Zishuai , LIU Xing , YAN Zhao , YANG Yinfang , YU Pei . Improved DAVAR Algorithm for Adaptive Window Based on Fractal Dimension[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(5) : 129 -132 . DOI: 10.15892/j.cnki.djzdxb.2021.05.025

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