深空天文测角测速组合导航滤波算法研究  

Research on the filter algorithm for integrated autonomous navigation based on angle and velocity measurement in deep space

作　　者：陈晓[1,2] 许俊 张晓 张伟 CHEN Xiao;XU Jun;ZHANG Xiao;ZHANG Wei(Shanghai Institute of Satellite Engineering,Shanghai 201109,China;Shanghai Key Laboratory of Deep Space Exploration Technology,Shanghai 201109,China)

机构地区：[1]上海卫星工程研究所,上海201109 [2]上海市深空探测技术重点实验室,上海201109

出　　处：《中国科学：物理学、力学、天文学》2022年第1期72-78,共7页Scientia Sinica Physica,Mechanica & Astronomica

基　　金：上海市科委科研计划(编号:18DZ2272300)资助项目。

摘　　要：针对天文光谱测速导航量测中存在的常值量测误差、慢时变量测误差、光谱畸变量测误差,提出了扩维自适应容积卡尔曼滤波算法.本文通过状态扩维将常值测速量测误差及慢时变测速量测误差作为状态量之一,在导航滤波中进行同步估计并在量测中进行补偿.针对天体表面活动导致的光谱畸变量测误差,通过Sage-Husa噪声估计器对滤波算法中的量测噪声协方差阵进行自适应估计以降低含该误差量测的影响.同时,为了进一步提高导航的精度,将天文光谱测速信息与天体方向矢量信息结合,并通过联邦滤波器进行信息融合.以火星接近段为背景的仿真结果表明,该算法能够有效抑制上述量测误差对导航精度的影响,实现高精度天文自主导航.In order to reduce the influence of the constant measurement error,slow time-varying measurement error and spectral distortion measurement error caused by global and local activities of celestial bodies on the Doppler navigation,an augmented state adaptive cubature Kalman filter is proposed.The slow time-varying error can be regarded as a constant error in a short time and is estimated as one of the state variables and compensated in the measurement.The measurement noise covariance matrix is modified adaptively by Sage-Husa noise estimator to reflect the characteristics of noise and reduce the influence of spectral distortion measurement error.In addition,the celestial angle information is combined with the velocity information to improve the accuracy of autonomous navigation system.The simulation results show that the algorithm can estimate the constant and slow time-varying measurement error accurately and is robust in controlling the measurement error caused by spectral distortion.

关 键 词：多普勒测速 组合导航 Sage-Husa滤波 光谱畸变 

分 类 号：V448[航空宇航科学与技术—飞行器设计] TN713[电子电信—电路与系统] TN96