A Method of Divided Difference Particle Filter for X-ray Pulsars Navigation

摘要：

X-ray pulsar navigation is a typical nonlinear filtering problem. This paper analyzes the nonlinear error of the traditional filtering algorithms,and introduces a new type of particle filter by integrating the divided difference filter (DDF) with a particle filtering framework for improving the accuracy of the X-ray pulsar navigation. The results based on the simulation experiments using real orbit parameter indicate that the Divided Difference Particle Filter(DDPF) performs better than the Unscented Kalman Filter(UKF) and the divided difference filter,and the position estimation accuracy can be increased by 40％.

关键词： pulsar navigation nonlinear error particle filter Divided Difference Filter

作者: Dajun Feng Yuchen Zhao Luping Xu Woheng Li

作者单位: School of Electronic & Engineering,Xidian University,Xian 710071,China School of Electronic & Engineering,XidianUniversity,Xian 710071,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 1981-1984

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）