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Three-sample rotation vector algorithm with angular rate input (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者:  
Zhang Y.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
In order to research the attitude algorithm with angular rate input under the conical motion  a optimal threesample rotation vector algorithm based on single-step Newton backward interpolation is proposed. Using the principle of limited rigid body rotation and the characteristic of angular rate input  three-sample rotation vector algorithm is derivated. To minimum attitude errors  three-sample rotation vector algorithm is optimized. Three angular rate extraction methods of singlestep entire sample recursion  multi-step entire sample and singlestep Newton backward interpolation are proposed. Under the condition of conical motion with semi-cone angle 3 and angular frequency 2rad/s  simulation is done. The simulation results show that single-step Newton backward interpolation is superior to the other two methods  and its maximum error peak is 0.01  error drift rate is 0.036/h. Experiments in three-axis flying turntable with the same parameters are carried out  and the results show that error drift rates of three-channels are less than those of traditional quaternion  which are 13.53%  12.08% and 23.68% lower respectively. It also verified that the new algorithm can perform a high accuracy under the conical motion. 2011 IEEE.  
Theoretical study of p-d hybridization in Co perovskite 期刊论文  OAI收割
PHYSICA B-CONDENSED MATTER, 2009, 卷号: 404, 期号: 16, 页码: 2345-2348
作者:  
Zheng, Long;  Sun, Aimin;  Ma, Jinyuan;  Wei, Guidan
  |  收藏  |  浏览/下载:19/0  |  提交时间:2010/10/29
An improved two-dimensional entropy method for star trail tracing in deep sky (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wang Y.-J.;  Yao Z.-J.
收藏  |  浏览/下载:32/0  |  提交时间:2013/03/25
The trace of star trail is an important component of deep sky detection. The stars are low contrast targets  and their self-rotation will make their brightness change in cycle. Above all  the trail trace is vulnerable to the block and disturbance of other stars. Traditional one-dimensional maximum entropy thresholding algorithm is vulnerable to the noise  and the calculation of two-dimensional entropy methods is too large and takes too much time. This paper proposes an improved two-dimensional entropy threshold algorithm. We use recursion iteration method to eliminate the redundancy calculation  and reduce the size of two-dimensional histogram based on the deep sky stars characteristic  such as low contrast  fuzziness and the centralized histogram. We also combine our algorithm with the space trail trace model to forecast the star trace. Experiments results show  when the star are blocked or they turn dark  the method still can well extrapolate the star trace. Our method improves the capability of trailing the ebb and small star  and increases the precision of tracing. It is also robust to the noise  so there is a good application foreground for the method.