Research on nonlinear filtering for UAV RP navigation system

Author

Yuan, Dongli ; Xi, Qingbiao ; Mu, Xia ; Qu, Yaohong

Author_Institution

Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China

fYear

2010

Firstpage

3496

Lastpage

3500

Abstract

For the navigation precision of traditional UAV 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.

Keywords

aircraft; digital simulation; least squares approximations; nonlinear filters; radionavigation; remotely operated vehicles; Matlab; Simulink; UAV RP navigation system; dead reckoning; least square estimation; nonlinear filtering; radio position; Automation; Dead reckoning; Filtering; Least squares approximation; Mathematical model; Radio navigation; Unmanned aerial vehicles; DR (dead reckoning); RP (radio position); UAV (unmanned aerial vehicle); least square estimation; nonlinearity;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Conference_Location

Jinan

Print_ISBN

978-1-4244-6712-9

Type

conf

DOI

10.1109/WCICA.2010.5553850

Filename

5553850