空间科学学报2017，Vol.37Issue(3)：322-331,10.DOI:10.11728/cjss2017.03.322
深空探测器接近段自适应滤波方法研究
Comparison of Adaptive Filter for Celestial Navigation during Approach Phase
摘要
Abstract
Celestial navigation is an autonomous navigation method for deep space mission,which has been wildly researched.In celestial navigation,nonlinear Kalman filters such as Unscented Kalman Filter (UKF) are usually used.However,for traditional nonlinear Kalman filter,the system model errors should be Gaussian noise and their statistical characteristics should be known.However,the information is usually unknown and the system model errors are usually time-varying in real system.Hence,many adaptive filters have been studied to solve this problem.In this paper,three adaptive filters based on adjusting the predicted state covariance matrix are compared by simulation.Before this,the system model errors of celestial navigation are also analyzed for the approach phase.关键词
天文导航/自适应滤波/深空探测接近段Key words
Celestial navigation/Adaptive filter/Approach phase分类
天文与地球科学引用本文复制引用
宁晓琳,李卓,黄盼盼,杨雨青..深空探测器接近段自适应滤波方法研究[J].空间科学学报,2017,37(3):322-331,10.基金项目
国家自然科学基金项目资助(61233005,61503013) （61233005,61503013）
