测控技术2013，Vol.32Issue(8)：16-20,5.
SINS/CNS/SAR组合导航系统中的信息融合算法研究
Research on Information Fusion Algorithm in SINS/CNS/SAR Integrated Navigation System
摘要
Abstract
In the SINS/CNS/SAR integrated navigation system,there exists the issues of the asynchronous measurement information and the poor system fault-tolerance,so a new information fusion approach is put forward to get the high precision filtering results.Firstly,the wild measurement of each subsystem is detected,and the data synchronized is obtained.Then,the available information is put in the SINS/CNS and SINS/SAR subfilter system to obtain the local estimates.After the fault-tolerant detection,the adaptive fusion is carried out by the main filter to realize the global filter.The simulation results show that the time synchronization of the measurement information can optimize the precision of the system position.Besides,the proposed algorithm can detect and isolate the fault where there is abnormal measurement,so that locating results can always maintain in steady-state nearby.The new fusion algorithm can improve the fault-tolerance performance and the navigation accuracy of the integrated system,the scheme has important theoretical reference value.关键词
组合导航/信息融合/量测同步/容错设计/自适应滤波Key words
integrated navigation/ information fusion/ data synchronized/ fault-tolerant design/ adaptive filtering分类
交通工程引用本文复制引用
胡秀华,赵岩..SINS/CNS/SAR组合导航系统中的信息融合算法研究[J].测控技术,2013,32(8):16-20,5.基金项目
国家自然科学基金资助项目(61174193) （61174193）
陕西省自然科学基金资助项目(NBYU0004) （NBYU0004）
