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	A Shrink-Branch-Bound Algorithm for eLoran Pseudorange Positioning Initialization 期刊论文 OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 8, 页码: 21 作者: Liu, Kaiqi; Yuan, Jiangbin; Yan, Wenhe; Yang, Chaozhong; Guo, Wei \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2022/08/15 pseudorange positioning branch and bound nonlinear least squares eLoran trust region reflective algorithm initialization
	Online algorithm for variance components estimation 期刊论文 OAI收割 COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2021, 卷号: 97, 页码: 13 作者: Zhang, Xinggang; Lu, Xiaochun \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2021/11/29 Batch-EM algorithm Stochastic approximation Precise point positioning Kalman filter
	Recursive estimation of the stochastic model based on the Kalman filter formulation 期刊论文 OAI收割 GPS SOLUTIONS, 2021, 卷号: 25, 期号: 1, 页码: 7 作者: Zhang, Xinggang; Lu, Xiaochun \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/11/29 Variance components estimation Batch EM algorithm Precise point positioning Kalman filter Real-time mode
	An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data 期刊论文 OAI收割 SENSORS, 2021, 卷号: 21, 期号: 1, 页码: 21 作者: Lu, Yangwei; Ji, Shengyue; Tu, Rui; Weng, Duojie; Lu, Xiaochun \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2021/11/29 GNSS satellite receivers positioning error positioning algorithm
	Location of Static Targets on the Seabed: A Study 期刊论文 OAI收割 JOURNAL OF INTERNET TECHNOLOGY, 2020, 卷号: 21, 期号: 5, 页码: 1563-1569 作者: Yao, Biyuan; Cao, Xinghui; Shen, Binjian; Li, Guiqing; Yin, Jianhua \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2020/12/17 Static target Weighted centroid localization algorithm Least square localization algorithm Positioning error
	Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II 期刊论文 OAI收割 IEEE SENSORS JOURNAL, 2019, 卷号: 19, 期号: 21, 页码: 10003-10015 作者: Cai, Xingjuan; Wang, Penghong; Du, Lei; Cui, Zhihua; Zhang, Wensheng \| 收藏 \| 浏览/下载：49/0 \| 提交时间：2020/03/30 Wireless sensor networks (WSNs) 3DDV-Hop algorithm multi-objective positioning model N2-3DDV-Hop
	Study on the Positioning of Forestry Insect Pest Based on DEM and Digital Monitoring Technique 会议论文 OAI收割 Information Computing and Applications, Berlin Zhao, Feifei; Qiao, Yanyou 收藏 \| 浏览/下载：34/0 \| 提交时间：2014/12/07 Digital Monitoring Technique DEM Forestry Diseases and Pests Single-point Positioning Bresenham Algorithm ALGORITHM
	Line-of-sight locating algorithm for staring imaging aerial remote sensor (EI CONFERENCE) 会议论文 OAI收割 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China 作者: Li Y.; Li Y.; Li Y.; Li Y.; Li J. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 A line-of-sight (LOS) Locating algorithm for staring imaging is presented in this paper. Staring imaging is an imaging mode for aerial remote sensor which photographs the designated earth-fixed target in muItidirections. Therefore the details of interesting targets is available. For the target obscured or disguised its advantage becomes more apparent. This paper proposes the method using two-axis rotation to achieve staring imaging and establishes the system model and the associated coordinates. Adopting the method of coordinate transformation the LOS Locating algorithm is constructed which determines the LOS direction. For the validation of algorithm Target Geolocation Algorithm is established using Simulink library blocks. Eventually it proves the feasibility of the LOS Locating algorithm. This article provides a thought of LOS Locating algorithm for staring imaging. The method of coordinate transformation used in this paper can be applied to line-of-sight positioning in other imaging modes. 2010 IEEE.