Research on the position algorithm for smart munition imaging fuze

Xiao Kun He*, De Rong Chen, Jiu Lu Gong, Meng Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

To measure the relative position between smart munition and vehicle, a location algorithm for imaging fuze based on target geometrical characteristics which are non-cooperative and inherent is proposed. A space imaging model under the fast rendezvous is established to solve the problem, and then the axes of vehicle are defined according to the characteristics of vehicle. The plane consisting of optical center and feature lines across the axes is set up, the parallel relationship among axes and intersecting lines is proved, and the direction vectors of three target-coordinate axes are educed. Based on the direction vectors of target-coordinate axes and the method of undetermined coefficients, a medial plane which includes vehicle's axes is described by expression. According to the distance constraints from 3D point to plane, the relative position between smart munition and vehicle is resolved by strict derivation. The effect of relative pose on solving error is analyzed, and the error rules are proved by experiments. The experimental results indicate that the relative error of location is less than 5% when the height of smart munition is less than 100 m, and the location algorithm could solve the relative position with high precision.

Original languageEnglish
Pages (from-to)1549-1555
Number of pages7
JournalBinggong Xuebao/Acta Armamentarii
Volume35
Issue number10
DOIs
Publication statusPublished - 1 Oct 2014

Keywords

  • Direction vector
  • Imaging fuze
  • Non-cooperative feature
  • Ordnance science and technology
  • Positioning accuracy
  • Relative position

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