A Nonlinear Variable Dimension Estimator for Maneuvering Spacecraft Tracking via the Unscented Kalman Filter

摘要：

A Nonlinear Variable Dimension (NVD)adaptive estimator was proposed for tracking maneuvering targets in the spaceflight setting.To address the uncertainty of the nonlinear system dynamics,a single Unscented Kalman Filter is used with two state models:a nonmaneuvering model for the two body problem and a higher-order maneuvering model that takes maneuver acceleration as a deterministic but unknown parameter to be estimated.A maneuver detector based on statistical tests is developed for directing the system model switch.The NVD estimator proposed in this paper is suitable for tracking nonlinear systems with deterministic mode uncertainties.It is potentially a cost-effective online method for real-time spacecraft tracking applications.

作者: Xuanyu Hu Xiaogong Hu Yong Huang

作者单位: Center for Astro-geodynamics Research Shanghai Astronomical Observatory,Chinese Academy of Sciences #80 Nandan Road,Shanghai,200030,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 226-231

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）