全球定位系统2026，Vol.51Issue(2)：70-78,9.DOI:10.12265/j.gnss.2026030
基于自适应抗差滤波的地月LiAISON/CNS组合导航方法
LiAISON/CNS integrated navigation method for cislunar spacecraft based on adaptive robust filtering
摘要
Abstract
The linked autonomous interplanetary satellite orbit navigation(LiAISON)method enables simultaneous navigation for multiple cislunar spacecraft with unknown states through distance measurements.However,for near-coplanar cislunar spacecraft,the navigation error in the direction normal to the orbital plane increases significantly.Moreover,this method alone requires a long convergence time,typically one orbital period,and the cost of re-convergence after error perturbation is high.To address the above issues,based on observability theory,this paper analyzes the improvement effects on navigation system observability provided by Earth and Moon vectors,and the angles between inter-spacecraft line-of-sight vectors and background stars.Building on the LiAISON method,a LiAISON/celestial navigation system(CNS)integrated navigation method is proposed,which incorporates the angles between inter-spacecraft line-of-sight vectors and background star vectors.Additionally,an improved adaptive robust cubature Kalman filter algorithm is presented.It employs chi-square tests to detect measurement anomalies and adaptively estimates the process noise covariance matrix and measurement noise covariance matrix,thereby suppressing the impact of measurement outliers on filter convergence while improving orbit determination convergence speed and accuracy.Simulation results demonstrate that the proposed method achieves high-precision robust navigation for near-coplanar cislunar spacecraft.关键词
自主导航/星间链路自主导航(LiAISON)/天文导航系统(CNS)/自适应滤波/地月空间Key words
autonomous navigation/LiAISON/celestial navigation system(CNS)/adaptive filtering method/cislunar space分类
天文与地球科学引用本文复制引用
许俊,马辛,陈晓,牛俊坡,杨思亮..基于自适应抗差滤波的地月LiAISON/CNS组合导航方法[J].全球定位系统,2026,51(2):70-78,9.基金项目
科工局民用航天项目(D040102) （D040102）
