机构

• 长春光学精密机械与物... [1]
• 上海天文台 [1]
• 国家天文台 [1]

采集方式

• OAI收割 [3]

内容类型

• 期刊论文 [2]
• 会议论文 [1]

发表日期

• 2008 [2]
• 2006 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 The simulation of lunar gravity field recovery from D-VLBI of Chang'E-1 and SELENE lunar orbiters 期刊论文  OAI收割 ADVANCES IN SPACE RESEARCH, 2008, 卷号: 42, 期号: 2, 页码: 337-340 作者:  Yan Jianguo;  Ping Jingsong;  Matsumoto, K.;  Li Fei 收藏  |  浏览/下载：14/0  |  提交时间：2015/08/13 lunar gravity field  sigma degree-wise variance  D-VLBI  error covariance analysis  Chang'E-1  SELENE   The simulation of lunar gravity field recovery from D-VLBI of Chang'E-1 and SELENE lunar orbiters 期刊论文  OAI收割 ADVANCES IN SPACE RESEARCH, 2008, 卷号: 42, 期号: 2, 页码: 337-340 作者:  Yan Jianguo;  Ping Jingsong;  Matsumoto, K.;  Li Fei 收藏  |  浏览/下载：13/0  |  提交时间：2017/04/06 lunar gravity field  sigma degree-wise variance  D-VLBI  error covariance analysis  Chang'E-1  SELENE   Design of GPS/INS integrated navigation system based on multisensor information fusion (EI CONFERENCE) 会议论文  OAI收割 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China Chunmei H.; Yantao T.; Wanxin S.; Mao L. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 Two kinds of design methods of GPS/INS integrated navigation system are presented  that is GPS/INS integrative system and integrated navigation system based on information fusion. By analyzing mathematics model of the first system error  we found that inertia velocity error would cause code loop track error. Consequently  the pseudo range meterage error is interrelated with inertia velocity error  which is complex to calculate. If this relativity is ignored in the state equation and observation equation of this system  it must affect the estimated precision of the kalman filter and maybe the system is unstable. Therefore  the second integrated navigation method is introduced. It adopts information fusion  federal kalman filter and covariance. And consider the above pertinence to analyze the navigation performance of the integration system. Then it gives the flow of federal kalman filter algorithm. By analyzing  the conclusion is that velocity error of integrated navigation system drops from 0.5m/s to below 0.05m/s  and improves the precision and reliability of the navigation system effectively  well continuity and real-time capability. It provides an effective way for data analysis and process of fusion navigation system. 2006 IEEE.