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长春光学精密机械与物... [8]

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限定条件	专题：长春光学精密机械与物理研究所第一署名单位第一作者单位通讯作者单位

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	Huber-based robust unscented kalman filter distributed drive electric vehicle state observation 期刊论文 Energies, 2021, 卷号: 14, 期号: 3 作者: W. Wan; J. Feng; B. Song and X. Li 收藏 \| 浏览/下载：3/0 \| 提交时间：2022/06/13
	高动态星敏感器关键技术研究学位论文中国科学院大学(中国科学院长春光学精密机械与物理研究所): 中国科学院大学(中国科学院长春光学精密机械与物理研究所), 2019 作者: 王军收藏 \| 浏览/下载：0/0 \| 提交时间：2020/08/24 星敏感器高动态质心定位星图识别星跟踪
	An attitude tracking method for star sensor under dynamic conditions 期刊论文 Optoelectronics Letters, 2019, 卷号: 15, 期号: 5, 页码: 368-373 作者: J.Wang; X.He; Z.-h.Wei; Y.Lu; D.-l.He 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/08/24 Singular value decomposition,Efficiency,Navigation,Stars,Stochastic systems
	Enhanced Ultraviolet Random Lasing from Au/MgO/ZnO Heterostructure by Introducing p-Cu2O Hole-Injection Layer 期刊论文 ACS Applied Materials & Interfaces, 2016, 卷号: 8, 期号: 46 作者: Zhang, C.; J. Zhang; W. Z. Liu; H. Y. Xu; S. Hou 收藏 \| 浏览/下载：15/0 \| 提交时间：2017/09/11
	Practical phase unwrapping of interferometric fringes based on unscented Kalman filter technique 期刊论文 Optics Express, 2015, 卷号: 23, 期号: 25, 页码: 32337-32349 作者: Cheng, Z. T.; D. Liu; Y. Y. Yang; T. Ling; X. Y. Chen 收藏 \| 浏览/下载：12/0 \| 提交时间：2016/07/15
	Line-of-Sight Rate Estimation Based on UKF for Strapdown Seeker 期刊论文 Mathematical Problems in Engineering, 2015, 页码: 14 作者: Sun, T. T.; H. R. Chu; B. Q. Zhang; H. G. Jia; L. H. Guo 收藏 \| 浏览/下载：15/0 \| 提交时间：2016/07/15
	Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE) 会议论文 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China Su W. X. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 In order to improve the initial alignment accuracy and convergence rate of the SINS system proposed the improved UKF algorithm (AUKF) based on the Unscented Kalman Filter (UKF). Noise statistical characteristics are mostly unknown in real systems when it was effected by the initial value errors and dynamic model errors AUKF algorithm can real-time adjust the covariance of the state vector and observation vector and balance the right ratio of the state information and observation information in the filter results thereby improving the system performance. The experimental results show: The Improved UKF Algorithm enhances the convergence speed and alignment accuracy effectively. 2011 IEEE.
	Application of adaptive UKF in initial alignment of MINS/GPS integrated navigation system (EI CONFERENCE) 会议论文 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China Jiao W.-B.; Gao Q.; Su W.-X.; Wang M. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In order to overcome the shortcomings of standard unscented Kalman filter (UKF) which are obviously influenced by the error of initial value and the model error of system adaptive UKF which is based on the adaptive principle is applied in initial alignment of the MINS/GPS integrated navigation system. Coarse alignment cannot be done by micro inertial measurement unit (MIMU) itself because of its low precision the method of using magnetometer to assist it with coarse alignment is presented. Simulation results show that the adaptive UKF can overcome the influences of initial values error and inaccurate system model and improve the convergence speed and alignment accuracy effectively. 2010 IEEE.

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