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Deep data fusion method for missile-borne inertial/celestial system

  • Chunxi Zhang
  • , Xiaofei Chen
  • , Jiazhen Lu
  • , Hao Zhang*
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Strap-down inertial-celestial integrated navigation system has the advantages of autonomy and high precision and is very useful for ballistic missiles. The star sensor installation error and inertial measurement error have a great influence for the system performance. Based on deep data fusion, this paper establishes measurement equations including star sensor installation error and proposes the deep fusion filter method. Simulations including misalignment error, star sensor installation error, IMU error are analyzed. Simulation results indicate that the deep fusion method can estimate the star sensor installation error and IMU error. Meanwhile, the method can restrain the misalignment errors caused by instrument errors.

Original languageEnglish
Title of host publication6th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2018
EditorsShanhong Zhu, Tao Kuang, Dajing Fang
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735416727
DOIs
StatePublished - 23 May 2018
Event6th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2018 - Busan, Korea, Republic of
Duration: 14 Apr 201815 Apr 2018

Publication series

NameAIP Conference Proceedings
Volume1967
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference6th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2018
Country/TerritoryKorea, Republic of
CityBusan
Period14/04/1815/04/18

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