Research on the airborne SINS/CNS integrated navigation system assisted by BD navigation system
Xie Mei-lin1; Yang Xiao-xu1; Han Jun-feng1; Wei Yu1; Yue Peng2; Deng Xiao-guo1; Huang Wei1
2016
会议名称photoelectronic-technology-committee conference
会议日期2016-11-15
会议地点peoples r china
关键词Integrated Navigation Single star patrol Tight combination Noise correction Fuzzy adaptive
卷号9796
通讯作者xie, ml (reprint author), xian inst opt & precis mech cas, xian 710119, peoples r china.
英文摘要when the star navigation system working during the day, the strong sky background radiation lead to a result that the detect target light is too weak, in the field of view, because of the limitation on the number of the navigation star, usually choose the single star navigation work mode. in order to improve the reliability of the airborne sins/cns integrated navigation system, meet the demand of the long-endurance and high precision navigation, use the tight combination way, single star patrol algorithm to get the position and attitude. there exists filtering divergence problem because of the model error and the system measurement noise is uncertain, put forward a new fuzzy adaptive kalman filtering algorithm. adjust the size of measurement noise to prevent the filter divergence; the positioning accuracy of integrated navigation system can be improved through beidou satellite. without the information of beidou satellite, based on the level of the virtual reference, the navigation precision of integrated navigation system can be ensured over a period of time.
收录类别EI ; ISTP
产权排序1
会议录selected papers of the photoelectronic technology committee conferences held november 2015
会议录出版者spie-int soc optical engineering
会议录出版地bellingham
学科主题engineering, electrical & electronic ; optics
语种英语
ISSN号0277-786x
ISBN号978-1-62841-881-1
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/28321]  
专题西安光学精密机械研究所_光电测量技术实验室
作者单位1.Xian Inst Opt & Precis Mech CAS, Xian 710119, Peoples R China
2.Huayin Engn Test Ctr, Huayin 714200, Peoples R China
推荐引用方式
GB/T 7714
Xie Mei-lin,Yang Xiao-xu,Han Jun-feng,et al. Research on the airborne SINS/CNS integrated navigation system assisted by BD navigation system[C]. 见:photoelectronic-technology-committee conference. peoples r china. 2016-11-15.
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