Self-localization algorithm based on GIE-DOL for networked munitions

Han Wen Liu, Ming Li*, Chun Lan Jiang, Xin Yi Cheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The influence factors on Trilateration are studied for the reason that traditional self-localization algorithms are not suitable for the networked munitions in quality and complexity. According to the error equation deduced, it showed that the errors was due to the common influence of node geometric relation and ranging errors. Geometric influential element and distance offset of localization were presented to describe the influence effect. And they were used to evaluate and screen groups of anchor nodes. Final position was calculated by weighting. Simulation shows that the algorithm can improve the precision through minimizing the unfavorable factors, has better robustness and nice performance no matter the munition nodes are deployed densely or loosely.

Original languageEnglish
Pages (from-to)158-161
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume34
Issue number2
Publication statusPublished - Feb 2014

Keywords

  • Distance offset of localization
  • Geometric influential element (GIE)
  • Networked munitions
  • Trilateration

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