A Novel Central Difference Kalman Filter with Application to Spacecraft Control

摘要：

　　Spacecraft tracking is a very important issue in the domain of spacecraft control.Traditional EKF method can not work well when the system noise is large and initial estimation is less accurate.In order to solve this,a novel central difference Kalman filter based on maxiam likehood posterior function is proposed in this paper.The second step of Kalman filter was modified in order to achieve better performance and a typical spacecraft tracking problem is given to show the advances the proposed method.

关键词： CDKF Spacecraft Tracking Kalman Filter EKF Spacecraft Control

作者: Hou Yunyi Ma Guangfu Hou Jianwen

作者单位: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China; Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China Shanghai Academy of Spaceflight Technology, Shanghai 201109, China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 2319-2322

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）