星跟踪器天文观测信息异常检测算法  

Anomaly Detection Algorithm for Celestial Navigation Observations Information Using Star Tracker

作　　者：周磊[1] 樊建文[1] ZHOU Lei;FAN Jianwen

机构地区：[1]中国电子科技集团公司第二十研究所,西安710068

出　　处：《现代导航》2021年第5期319-323,共5页Modern Navigation

摘　　要：针对机载天文导航系统中小视场星跟踪器的观测信息容易受外界环境影响而导致输出噪声较大的问题,提出了一种天文观测信息异常检测算法。建立了星跟踪器观测信息相对惯性导航基准的理论观测信息的误差模型,采用视场阈值检测、 3σ剔除和斜率估计等算法分别检测处理了观测信息中的野值、跳变和缓变异常信息。并通过对实际观测数据验证的测试结果表明,该方法有效解决了星跟踪器的天文观测信息异常检测问题,为基于小视场星跟踪器的机载CNS/INS组合导航系统的工程化实现奠定了基础。Because of the problem that the airborne star tracker for celestial navigation is affected by the external environment easily, which leads to performance degradation of celestial navigation, an anomaly detection algorithm is proposed. The error model of observation information of star tracker relative to the theoretical observation based on inertial navigation information is established, and the field view threshold detection, 3σ division and slope estimation detection are used to detect the outliers, jumps and slow changes in the observation information respectively. The experimental results show that this method can detect the anomaly information of celestial observation effectively, which lays a foundation for the engineering realization of airborne CNS/INS integration navigation system by use of star tracker.

关 键 词：异常检测 星跟踪器 跳变异常 缓变异常 CNS/INS组合导航系统 

分 类 号：V249[航空宇航科学与技术—飞行器设计]