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中国矿业大学（徐州）环境与测绘学院研究生导师：常国宾

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。Google Scholar引用数为582，h指数为13，RG Score为28.34。为30余本SCI检索期刊审稿人。

Email：guobinchang@hotmail.com

获奖、荣誉称号

[1] 2017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。

社会、学会及学术兼职

为以下期刊审稿人

[1] Acta Astronautica

[2] Applied Mathematical Modeling

[3] Asian Journal of Control

[4] Automatica

[5] Circuits Syst Signal Process

[6] IEEE Access

[7] IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

[8] IEEE Sensors Letters

[9] IEEE Systems Journal

[10] IEEE Transactions on Instrumentation and Measurement

[11] IEEE Transactions on Aerospace and Electronics Systems

[12] IEEE Geoscience and Remote Sensing Letters

[13] IET Control Theory & Applications

[14] IET Radar Sonar & Navigation

[15] IET Science Measurement & Technology

[16] IET Signal Processing

[17] International Journal of Robust and Nonlinear Control

[18] Inverse Problems in Science & Engineering

[19] Journal of Applied Statistics

[20] Journal of Geodesy

[21] Journal of Navigation

[22] Journal of Process Control

[23] Journal of Statistical Computation and Simulation

[24] Measurement

[25] PLOS ONE

[26] Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

[27] Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

[28] Studia Geophysica et Geodaetica

[29] Survey Review

[30] Transactions of the Institute of Measurement and Control

[31] 测绘学报

[32] 地球物理学报

[33] 海洋测绘

[34] 控制与决策

[35] 武汉大学学报

研究领域

[1] 卫星导航;

[2] 惯性导航;

[3] 动态重力测量;

[4] 地球参考框架维持;

[5] 机器学习理论及其应用。

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：2018年1月-2021年12月，主持;

[2] 国家自然科学基金(青年基金)，批准号：41404001，起止时间：2015年1月-2017年12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：2017年1月-2018年12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：2017年1月-2018年12月，主持。

[5] 中国矿业大学青年基金，批准号：2018QNA22，起止时间：2018年1月-2020年12月，主持。

发表论文

[1] 常国宾, 徐天河, 王潜心. Adaptive Kalman filter based on variance component estimation for the prediction of ionospheric delay in aiding the cycle slip repair of GNSS triple-frequency signals [J]. Journal of Geodesy, doi: 10.1007/s00190-018-1116-4. (SCI)

[2] 常国宾, 徐天河, 王潜心. M-estimator for the 3D symmetric Helmert coordinate transformation[J]. Journal of Geodesy, 2018, 92(1): 47-58. (SCI)

[3] 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, 110(1): 1-10. (SCI)

[4] 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, 11(10): 1477-1482. (SCI)

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

[6] 常国宾, 徐天河, 王潜心. Error analysis of the 3D similarity coordinate transformation[J]. GPS Solutions, 2017, 21(3): 963-971. (SCI)

[7] 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)

[8] 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)

[9] 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)

[10] 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)

[11] 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)

[12] 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)

[13] 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)

[14] 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)

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

[16] 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)

[17] 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)

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

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

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

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

[22] 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)

[23] 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)

[24] 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)

[25] 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)

[26] 常国宾, 许江宁, 李安, 等. 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)

[27] 常国宾, 许江宁, 胡柏青, 等. 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)

[28] 常国宾, 许江宁, 常路宾, 等. 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)

[29] 常国宾, 许江宁, 李安, 等. 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)

[30] 常国宾, 李胜全. 惯性技术视角下动态重力测量技术评述 (一): 比力测量与载体动态的影响[J]. 海洋测绘. 2014, 34(3): 77-82.

[31] 常国宾, 李胜全. 惯性技术视角下动态重力测量技术评述 (二): 不同的惯性平台[J]. 海洋测绘. 2014, 34(4): 73-78.

[32] 常国宾, 李胜全. 惯性技术视角下动态重力测量技术评述 (三): 惯性导航与重力测量的融合[J]. 海洋测绘. 2014, 34(5): 7-12.

[33] 常国宾, 李胜全. 惯性技术视角下动态重力测量技术评述 (四): 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.

[34] 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.

[35] 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.

[36] 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)

[37] 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)

[38] 王潜心, 常国宾*, 徐天河. Representation of the rotation parameter estimation errors in the Helmert transformation model[J]. Survey Review, 2018, 50: 69-81. (SCI)

[39] 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)

[40] 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)

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

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

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

[44] 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)

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

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