TY - GEN
T1 - Research on autonomous navigation algorithm for spacecraft based on X-ray pulsars
AU - Yin, Hongliang
AU - Yang, Gongliu
AU - Wang, Yanyong
AU - Zhang, Wenhui
PY - 2011
Y1 - 2011
N2 - An autonomous X-ray pulsars navigation algorithm based on the extended Kalman filter (EKF) is proposed for spacecraft in order to realize 100m position accuracy. The measurement equation of spacecraft position is described with the TOA difference between spacecraft and the solar system barycenter. Then, the EKF, which incorporates spacecraft dynamics and TOA measurements, is developed to estimate spacecraft orbit. Simulation results demonstrate that this navigation algorithm is more accurate as the information contained in the satellite orbit model can be used when the EKF is adopted. 100m position accuracy can be achieved with pulsar orientation errors, 0.001", and timing errors, 0.1μs. Analysis and study show that this method represents high position accuracy, good convergence speed and stability with respect to previous method of least square and maximum likelihood.
AB - An autonomous X-ray pulsars navigation algorithm based on the extended Kalman filter (EKF) is proposed for spacecraft in order to realize 100m position accuracy. The measurement equation of spacecraft position is described with the TOA difference between spacecraft and the solar system barycenter. Then, the EKF, which incorporates spacecraft dynamics and TOA measurements, is developed to estimate spacecraft orbit. Simulation results demonstrate that this navigation algorithm is more accurate as the information contained in the satellite orbit model can be used when the EKF is adopted. 100m position accuracy can be achieved with pulsar orientation errors, 0.001", and timing errors, 0.1μs. Analysis and study show that this method represents high position accuracy, good convergence speed and stability with respect to previous method of least square and maximum likelihood.
KW - Autonomous navigation
KW - Extended Kalman filter
KW - Time of pulsar arrival
KW - X-ray pulsar
UR - https://www.scopus.com/pages/publications/80052188816
U2 - 10.1109/RSETE.2011.5965779
DO - 10.1109/RSETE.2011.5965779
M3 - 会议稿件
AN - SCOPUS:80052188816
SN - 9781424491711
T3 - 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings
SP - 6225
EP - 6228
BT - 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011 - Proceedings
T2 - 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011
Y2 - 24 June 2011 through 26 June 2011
ER -