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Lengths, Area and Modulus of Continuity of Some Classes of Complex-Valued Functions 期刊论文
Results in Mathematics, 2019, 卷号: 74, 期号: 3, 页码: 105-
作者:  Chen, Shaolin*
收藏  |  浏览/下载:4/0  |  提交时间:2019/12/24
The charge and spin currents for spinor boltzmann equation beyond gradient approximation 期刊论文
Physica a-statistical mechanics and its applications, 2017, 卷号: 465, 页码: 754-761
作者:  Wang, Zheng-Chuan
收藏  |  浏览/下载:41/0  |  提交时间:2019/05/09
Visco-elastic-plastic model for muddy seabeds 期刊论文
2010, 2010
Niu Xiaojing; Yu Xiping
收藏  |  浏览/下载:3/0
Design of GPS/INS integrated navigation system based on multisensor information fusion (EI CONFERENCE) 会议论文
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.  


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