DocumentCode :
233851
Title :
The research on X-ray pulsars/COMPASS integrated navigation for spacecraft
Author :
Xiang Yao ; Panlong Wu ; Hongjun Cao ; Yan Zhu
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
942
Lastpage :
946
Abstract :
X-ray pulsars navigation is a newly developed celestial navigation method, but the filter cycle time is long, and it cannot provide continuous navigation information. COMPASS can provide all-weather and continuous navigation information, but it has poor dynamic performance, and is susceptible to electromagnetic interference and the satellite signal is easy to be blocked. A X-ray pulsars/COMPASS integrated navigation method was proposed in order to improve the autonomous navigation capability of spacecraft. In this case, an autonomous orbit determination method of spacecraft is proposed through federal filtering that combines COMPASS navigation with X-ray pulsar navigation system. The extended Kalman filter (EKF), unscented Kalman filter (UKF) and the square root unscented Kalman filter (SR_UKF) algorithm are applied as the sub-filter. Simulation shows that the integration of the two systems can provide a higher accuracy of orbit determination, and SR_UKF performs better than EKF and UKF in filtering precision and stability.
Keywords :
Kalman filters; X-ray binary stars; aerospace control; electromagnetic interference; nonlinear filters; EKF; SR_UKF algorithm; UKF; X-ray pulsars-COMPASS integrated navigation method; all-weather navigation information; autonomous navigation capability; autonomous orbit determination method; celestial navigation method; continuous navigation information; electromagnetic interference; extended Kalman filter; federal filtering; filter cycle time; satellite signal; spacecraft; square root unscented Kalman filter algorithm; unscented Kalman filter; Amplitude modulation; Compass; Educational institutions; Kalman filters; Satellite navigation systems; Space vehicles; COMPASS; Federal Filter; Integrated Navigation; X-ray Pulsars;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896754
Filename :
6896754
Link To Document :
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