Research on nonlinear filtering for UAV RP navigation system

Dongli Yuan, Qingbiao Xi, Xia Mu, Yaohong Qu

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

Abstract

For the navigation precision of traditional U AV radio position (RP) navigation system is low, the new kind of RP navigation method based on least square estimation is put forward and the model of RP navigation system is built. Taking the dead reckoning (DR) as the benchmark, the simulation model is established and the simulation calculation is made by Matlab/Simulink tool box. The simulation results show that the RP navigation system based on least square estimation can restrain nonlinear disturbance and this system has good navigation precision.

Original languageEnglish
Title of host publication2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages3496-3500
Number of pages5
DOIs
StatePublished - 2010
Event2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China
Duration: 7 Jul 20109 Jul 2010

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/TerritoryChina
CityJinan
Period7/07/109/07/10

Keywords

  • DR (dead reckoning)
  • Least square estimation
  • Nonlinearity
  • RP (radio position)
  • UAV (unmanned aerial vehicle)

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