Study on Transfer Alignment Method for Nonlinear Filtered Inertial Navigation System

Hui Kang, Chunlan Jiang*, Ming Li, Liang Mao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aiming at the feature that the transfer alignment of inertial navigation system moving base is a nonlinear system in practical engineering, this paper establishes an accurate nonlinear filtering model for the transfer alignment of moving base by adopting the second-order Markov process to represent the dynamic deflection deformation in the process of transfer alignment and by applying the nonlinear filtering method to the process of transfer alignment of inertial navigation system. Finally, through the simulation comparison with the Kalman filtering method, the results show that the nonlinear filtering algorithm has obvious advantages in the alignment accuracy in the transfer alignment process of the inertial navigation system.

Original languageEnglish
Title of host publication2024 3rd International Symposium on Aerospace Engineering and Systems, ISAES 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-9
Number of pages5
ISBN (Electronic)9798350350418
DOIs
Publication statusPublished - 2024
Event3rd International Symposium on Aerospace Engineering and Systems, ISAES 2024 - Hybrid, Nanjing, China
Duration: 22 Mar 202424 Mar 2024

Publication series

Name2024 3rd International Symposium on Aerospace Engineering and Systems, ISAES 2024

Conference

Conference3rd International Symposium on Aerospace Engineering and Systems, ISAES 2024
Country/TerritoryChina
CityHybrid, Nanjing
Period22/03/2424/03/24

Keywords

  • Extended Kalman filter
  • Nonlinear filtering
  • Strapdown inertial navigation system
  • Transfer alignment

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