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MISSILES AND GUIDANCE TECHNOLOGY

Research on Time Sequence Modeling for FOG's Random Drift

  • CHEN Junjie ,
  • YANG Mengxing
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  • The 16th Institute, China Aerospace Science and Technology Corporation, Xi'an 710100, China

Received date: 2010-12-15

  Online published: 2025-05-30

Abstract

The random drift is one of the most significant factors that can affect the navigation precision of fiber of gyroscope (FOG). At first, it can be found that its time-relativity was weak based on the auto-related-function analysis of FOG's output series. Then the parameters of linear AR-model and nonlinear AR-model were worked out by the function of Yule-Walker and LMS. At last, the models and their most suitable orders were chosen by both the filtered effect and applicable test. The results indicate that both AR(1)-model and NAR(1)-model are suitable for the FOG's random drift modeling and real-time filtering, and can improve the zero bias's stability obviously.

Cite this article

CHEN Junjie , YANG Mengxing . Research on Time Sequence Modeling for FOG's Random Drift[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(5) : 65 -67 . DOI: 10.15892/j.cnki.djzdxb.2011.05.039

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Outlines

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