查看内容
  • 您现在的位置: 网站首页 师资队伍 查看内容

常国宾

发布日期:2017-9-12 10:31| 浏览次数: 478|

姓     名常国宾性      别
出生年月19842籍      贯山东菏泽
民     族汉族政治面貌群众
最后学历博士研究生毕业最后学位工学博士
技术职称副教授导师类别硕导
行政职务Emailguobinchang@hotmail.com
工作单位中国矿业大学环境与测绘学院邮政编码221116
通讯地址江苏省徐州市大学路1号中国矿业大学南湖校区环测学院
单位电话
个人主页


l  个人简介

    常国宾,男, 1984年2月出生,博士,副教授,硕士生导师。主要从事惯性导航、卫星导航、组合导航,地球参考框架维持及转换、统计数据处理理论等方面的研究。发表论文50余篇,其中以第一作者或通讯作者发表SCI论文27篇。主持国家自然科学基金项目2项、国家重点实验室开放基金项目2项、军内科研项目2项。截至2017年9月12日,Google Scholar引用数为418,h指数为12,RG Score为26.52。为《Journal of Geodesy》、《Automatica》、《IEEE Transactions on Instrumentation and Measurement》、《IEEE Transactions on Aerospace and Electronics Systems》、《PLOS ONE》、《IEEE Access》、《The Journal of Navigation》、《Acta Astronautica》、《Measurement》、《Inverse Problems in Science & Engineering》、《Journal of Applied Statistics》、《Applied Mathematical Modeling》、《Journal of Statistical Computation and Simulation》、《IET Control Theory & Applications》、《IET Signal Processing》、《IET Radar Sonar & Navigation》、《IET Science Measurement & Technology》、《Studia Geophysica et Geodaetica》、《Survey Review》、《地球物理学报》、《测绘学报》、《武汉大学学报》等国内外著名学术期刊审稿人。 Researchgate个人主页:https://www.researchgate.net/profile/Guobin_Chang GoogleScholar个人主页:https://scholar.google.com/citations?user=i_GYyyMAAAAJ&hl Linkedin个人主页:https://www.linkedin.com/in/常国宾-guobin-chang-43b746b7/



l  教育与学历

[1]           20138-20166月,博士后,西安测绘研究所

[2]           20069-201112月,博士,海军工程大学

[3]           20029-20066月,本科,海军工程大学

 

l  工作经历

[1]           20179-,副教授,中国矿业大学

[2]           201112-20179月,工程师,海军海洋测绘研究所


l  研究领域

[1]           惯性导航、卫星导航及组合导航

[2]           地球坐标框架

[3]           统计数据处理

l  科研项目

[1]           国家自然科学基金(面上项目),批准号:41774005,起止时间:20181-202112月,主持;

[2]           国家自然科学基金(青年基金),批准号:41404001,起止时间:20151-201712月,主持;

[3]           大地测量与地球动力学国家重点实验室开放基金,批准号:SKLGED2017-4-2-EZ,起止时间:20171-201812月,主持;

[4]           地理信息工程国家重点实验室开放基金,批准号:SKLGIE2016-Z-1-1,起止时间:20171-201812月,主持。

l  科研奖励

[1]           2016年获军队科技进步三等奖,排名第2

[2]           2015年获湖北省科技进步二等奖,排名第9

[3]           2013年获测绘科技进步奖一等奖,排名第11

[4]           2009年获军队科技进步二等奖,排名第6

l  发表论文


[1]           常国宾, 徐天河, 王潜心. M-estimator for the 3D symmetric Helmert coordinate transformation[J]. Journal of Geodesy, 2017, 10.1007/s00190-017-1043-9. (SCI)

[2]           常国宾, 徐天河, 王潜心, 柳明. Analytical solution to and error analysis of the quaternion based similarity transformation considering measurement errors in both frames[J]. Measurement, 2017, 10.1016/j.measurement.2017.06.013. (SCI)

[3]           常国宾, 徐天河, 王潜心, 李胜全, 邓凯亮. GNSS attitude determination method through vectorization approach[J]. IET Radar, Sonar & Navigation, 2017, 10.1049/iet-rsn.2017.0160. (SCI)

[4]           常国宾, 徐天河, 王潜心. Error Analysis of Davenport's q Method[J]. Automatica, 2017, 75(1): 217-220. (SCI)

[5]           常国宾, 徐天河, 王潜心. Error analysis of the 3D similarity coordinate transformation[J]. GPS Solutions, 2017, doi: 10.1007/s10291-10016-10585-10292. (SCI)

[6]           常国宾, 徐天河, 王潜心. Alternative framework for the iterated unscented Kalman filter[J]. IET Signal Processing, 2017, 11(3): 258-264. (SCI)

[7]           常国宾, 徐天河, 王潜心, 张书毕, 陈国良. A generalization of the analytical least-squares solution to the 3D symmetric Helmert coordinate transformation problem with an approximate error analysis[J], Advances in Space Research, 2017, 59: 2600-2610. (SCI)

[8]           常国宾, 徐天河, 王潜心. Baseline configuration for GNSS attitude determination with an analytical least-squares solution[J]. Measurement Science and Technology, 2016, 27(12): 125105. (SCI)

[9]           常国宾. Closed form least-squares solution to 3D symmetric Helmert transformation with rotational invariant covariance structure[J]. Acta Geodaetica et Geophysica. 2016, 51(2): 237-244. (SCI)

[10]       常国宾, 汪云甲, 王潜心. Accuracy improvement by implementing sequential measurement update in robust Kalman filter[J]. Acta Geodaetica et Geophysica. 2016, 51(3), 421-433. (SCI)

[11]       常国宾. On least-squares solution to 3D similarity transformation problem under Gauss-Helmert model[J]. Journal of Geodesy. 2015, 89(6): 573-576. (SCI)

[12]       常国宾, 柳明. M-estimator based robust Kalman filter for systems with process modeling errors and rank deficient measurement models[J]. Nonlinear Dynamics. 2015, 80(3): 1431-1449. (SCI)

[13]       常国宾. Fast two-position initial alignment for SINS using velocity plus angular rate measurements[J]. Advances in Space Research. 2015, 56: 1331-1342. (SCI)

[14]       常国宾. Total least-squares formulation of Wahba's problem[J]. Electronics Letters. 2015, 51(17): 1334-1335. (SCI)

[15]       常国宾, 柳明. Hybrid Kalman and unscented Kalman filter for INS/GPS integrated system considering constant lever arm effect[J]. Journal of Central South University. 2015, 22: 575-583. (SCI)

[16]       常国宾, 柳明. An adaptive fading Kalman filter based on Mahalanobis distance[J]. Journal of Aerospace Engineering. 2015, 229(6): 1114-1123. (SCI)

[17]       常国宾. On kalman filter for linear system with colored measurement noise[J]. Journal of Geodesy. 2014, 88(12): 1163-1170. (SCI)

[18]       常国宾. Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion[J]. Journal of Geodesy. 2014, 88(4): 391-401. (SCI)

[19]       常国宾. Comment on "A Gaussian approximation recursive filter for nonlinear systems with correlated noises"[J]. Automatica. 2014, 50(2): 655-656. (SCI)

[20]       常国宾. Kalman filter with both adaptivity and robustness[J]. Journal of Process Control. 2014, 24: 81-87. (SCI)

[21]       常国宾. Comment on ‘Constrained total least-squares calibration of three-axis magnetometer for vehicular applications’[J]. Measurement Science and Technology. 2014, 25(12): 128001. (SCI)

[22]       常国宾. Marginal unscented Kalman filter for cross-correlated process and observation noise at the same epoch[J]. IET Radar, Sonar & Navigation. 2014, 8(1): 54-64. (SCI)

[23]       常国宾. Loosely Coupled INS/GPS Integration with Constant Lever Arm using Marginal Unscented Kalman Filter[J]. The Journal of Navigation. 2014, 67(3): 419-436. (SCI)

[24]       常国宾. Alternative formulation of the Kalman filter for correlated process and observation noise[J]. IET Science, Measurement & Technology. 2014, 8(5): 310 - 318. (SCI)

[25]       常国宾, 许江宁, 李安, . 迭代无味卡尔曼滤波的目标跟踪算法[J]. 西安交通大学学报. 2012, 45(12): 70-74. (EI)

[26]       常国宾, 许江宁, 胡柏青, . 一种新的混合迭代UKF[J]. 武汉大学学报(信息科学版). 2012, 37(006): 701-703. (EI)

[27]       常国宾, 许江宁, 常路宾, . 一种新的鲁棒非线性卡尔曼滤波[J]. 南京航空航天大学学报. 2012, 43(6): 754-759. (EI)

[28]       常国宾, 许江宁, 李安, . 载体运动对双轴连续旋转调制式惯导方案误差的影响[J]. 中国惯性技术学报. 2011, 19(2): 175-179. (EI)

[29]       常国宾, 李胜全. 惯性技术视角下动态重力测量技术评述 (): 比力测量与载体动态的影响[J]. 海洋测绘. 2014, 34(3): 77-82.

[30]       常国宾, 李胜全. 惯性技术视角下动态重力测量技术评述 (): 不同的惯性平台[J]. 海洋测绘. 2014, 34(4): 73-78.

[31]       常国宾, 李胜全. 惯性技术视角下动态重力测量技术评述 (): 惯性导航与重力测量的融合[J]. 海洋测绘. 2014, 34(5): 7-12.

[32]       常国宾, 李胜全. 惯性技术视角下动态重力测量技术评述 (): 无陀螺惯性导航与重力梯度测量的融合[J]. 海洋测绘. 2014, 34(6): 8-12.

[33]       常国宾, 边少锋. 海洋测量交叉点误差分析(一):交叉点误差的确定[J]. 海洋测绘. 2015, 35(4): 1-6.

[34]       常国宾, 边少锋. 海洋测量交叉点误差分析(二):系统误差模型的选择[J]. 海洋测绘. 2015, 35(5): 1-7.

[35]       徐天河, 常国宾, 王潜心. 3D rotation estimation using vector measurements with full variance-covariance matrix [J]. Measurement, 2017, 98: 131-138. (SCI)

[36]       李增科, 常国宾,高井祥,王坚,Hernandez. GPS/UWB/MEMS-IMU tightly coupled navigation with improved robust Kalman filter [J]. Advances in Space Research. 2016, 58(11): 2424-2434. (SCI)

[37]       王潜心, 常国宾, 徐天河. Representation of the rotation parameter estimation errors in the Helmert transformation model[J]. Survey Review, 2016, Online first, doi: 10.1080/00396265.00392016.01234806. (SCI)

[38]       柳明, 常国宾. Numerically and statistically stable Kalman filter for INS/GNSS integration[J]. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 2016, 230(2): 321-332. (SCI)

[39]       柳明, 常国宾. Gravity matching aided inertial navigation technique based on marginal robust unscented Kalman filter[J]. Mathematical Problems in Engineering. 2014, Article ID: 592480: 1-9. (SCI)

[40]       李胜全, 常国宾, 金际航. Solving planar intersection problem using Gauss quadrature rule exact for threeorder monomials[J]. Survey Review. 2013, 45(332): 372-379. (SCI)

[41]       常路宾, 胡柏青, 常国宾, . Robust derivative-free Kalman filter based on Huber's M-estimation methodology[J]. Journal of Process Control. 2013, 23(10): 1555-1561. (SCI)

[42]       常路宾, 胡柏青, 常国宾, . Marginalised iterated unscented Kalman filter[J]. IET Control Theory & Applications. 2012, 6(6): 847-854. (SCI)

[43]       常路宾, 胡柏青, 常国宾 Modified Unscented Quaternion Estimator Based on Quaternion Averaging[J]. Journal of guidance, control, and dynamics. 2014, 37(1): 305-309. (SCI)

[44]       常路宾, 胡柏青, 常国宾, .  Multiple Outliers Suppression Derivative-Free Filter Based on Unscented Transformation[J]. Journal of guidance, control, and dynamics. 2012, 35(6): 1902-1907. (SCI)

[45]       常路宾, 胡柏青, 常国宾, . Huber-based novel robust unscented Kalman filter[J]. IET Science, Measurement & Technology. 2012, 6(6): 502-509. (SCI)

 

旧版入口| 联系我们 |

版权所有 © 2017 中国矿业大学环境与测绘学院 地址: 江苏省徐州市大学路1号中国矿业大学南湖校区 邮编:221116

微信
返回顶部