发布时间:2021-09-21   浏览次数:






Email: guobinchang@hotmail.com;guobinchang@cumt.edu.cn




波恩大学, 德国












1.常国宾, 徐天河, 姚一飞, 王海涛. Ionospheric delay prediction based on online polynomial modeling for real-time cycle slip repair of undifferenced triple-frequency GNSS signals[J]. Measurement, 2019, 146: 289-297. (IF = 2.791, JCRQ2, 中科院Q3 )

2.常国宾, 陈超, 徐天河, 纪兵. Switching position and range-domain carrier-smoothing-code filtering for GNSS positioning in harsh environments with intermittent satellite deficiencies[J]. Journal of the Franklin Institute, 2019, 356: 4928-4947. (IF = 3.653, JCRQ2, 中科院Q2 )

3.常国宾, 陈超, 杨元喜, 徐天河. Tikhonov regularization based modeling and sidereal filtering mitigation of GNSS multipath errors[J]. Remote Sensing, 2018, 10(11): 1801. (IF = 3.406, JCRQ2, 中科院Q2 )

4.常国宾, 林鹏, 卞和方, 高井祥. Simultaneous Helmert transformations among multiple frames considering all relevant measurements[J]. Measurement Science and Technology, 2018, 29(3): 035801. (IF = 1.685, JCRQ2, 中科院Q3 )

5.常国宾, 徐天河, 王海涛. M-estimator based robust unscented Kalman filter through statistical linearization[J]. Transactions of the Institute of Measurement and Control, 2019, 41(7): 2016-2025. (IF = 1.579, JCRQ3, 中科院Q4 )

6.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, 92(11): 1241-1253. (IF=4.633, JCRQ1, 中科院Q2)

7.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. (IF=4.633, JCRQ1, 中科院Q2)

8.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. (IF=2.218, JCRQ2, 中科院Q3 )

9.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. (IF=1.837, JCRQ3, 中科院Q4)

10.常国宾, 徐天河, 王潜心. Error Analysis of Davenport's q Method[J]. Automatica, 2017, 75(1): 217-220. (IF=6.126, JCRQ1, 中科院Q2)

11.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. (IF = 4.727, JCRQ1, 中科院Q2)

12.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. (IF = 1.25, JCRQ3, 中科院Q4)

13.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. (IF=1.529, JCRQ3, 中科院Q4)

14.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. (IF = 1.685, JCRQ2, 中科院Q3 )

15.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. (IF = 0.738, JCRQ4, 中科院Q4)

16.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. (IF = 0.738, JCRQ4, 中科院Q4)

17.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. (IF=4.633, JCRQ1, 中科院Q2)

18.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. (IF = 4.339, JCRQ1, 中科院Q2)

19.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. (IF=1.529, JCRQ3, 中科院Q4)

20.常国宾. Total least-squares formulation of Wahba's problem[J]. Electronics Letters. 2015, 51(17): 1334-1335. (IF = 1.232, JCRQ3, 中科院Q4)

21.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. (IF = 0.761, JCRQ3, 中科院Q4)

22.常国宾, 柳明. An adaptive fading Kalman filter based on Mahalanobis distance[J]. Journal of Aerospace Engineering. 2015, 229(6): 1114-1123. (IF = 1.038, JCRQ3, 中科院Q4)

23.常国宾. On kalman filter for linear system with colored measurement noise[J]. Journal of Geodesy. 2014, 88(12): 1163-1170. (IF=4.633, JCRQ1, 中科院Q2)

24.常国宾. Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion[J]. Journal of Geodesy. 2014, 88(4): 391-401. (IF=4.633, JCRQ1, 中科院Q2)

25.常国宾. Comment on A Gaussian approximation recursive filter for nonlinear systems with correlated noises[J]. Automatica. 2014, 50(2): 655-656. (IF=6.126, JCRQ1, 中科院Q2)

26.常国宾. Kalman filter with both adaptivity and robustness[J]. Journal of Process Control. 2014, 24: 81-87. (IF = 2.787, JCRQ2, 中科院Q2)

27.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. (IF = 1.685, JCRQ2, 中科院Q3 )

28.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. (IF=1.837, JCRQ3, 中科院Q4)

29.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. (IF = 1.580, JCRQ3, 中科院Q4)

30.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. (IF = 1.336, JCRQ3, 中科院Q4)

31.陈超, 常国宾*, 郑南山, 徐天河. GNSS multipath error modeling and mitigation by using sparsity-promoting regularization. IEEE Access, 2019, 10.1109/ACCESS.2019.2899622. (IF = 3.557, JCRQ1, 中科院Q2 )

32.陈超, 常国宾*, 骆飞, 张书毕. Dual-frequency carrier smoothed code filtering with dynamical ionospheric delay modeling [J]. Advances in Space Research, 2019, 63(2): 857-870. (IF=1.529, JCRQ3, 中科院Q4)

33.陈超, 常国宾*, 张书毕, 陈国良, 骆飞. New range domain carrier smoothed code filtering with dual-frequency BDS data[J]. Asian Journal of Control, 10.1002/asjc.1996.. (IF=1.528, JCRQ3, 中科院Q4)

34.徐天河, 常国宾*, 王潜心. Analytical 3D rotation estimation using vector measurements with full variance-covariance matrix[J]. Measurement, 2017, 98: 131-138. (IF=2.218, JCRQ2, 中科院Q3 )

35.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. (IF = 1.163, JCRQ3, 中科院Q4)

36.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. (IF = 1.163, JCRQ3, 中科院Q4)

37.杨旭, 常国宾, 王潜心, 张书毕, 毛亚, 陈雄川. An adaptive Kalman filter based on variance component estimation for a real-time ZTD solution[J]. Acta Geodaetica et Geophysica. 2019, 1-33.

38.曾怀恩, 方兴, 常国宾, . A dual quaternion algorithm of the Helmert transformation problem[J]. Earth, Planets and Space, 2018, 70: 26.

39.吴飞, 邓喀中, 常国宾, 王潜心. (2018). The application of a combination of weighted least-squares and autoregressive methods in predictions of polar motion parameters[J]. Acta Geodaetica et Geophysica, 53(2): 247-257.

40.曾怀恩, 常国宾, . Iterative solution of Helmert transformation based on a unit dual quaternion. Acta Geodaetica et Geophysica, 2018, 1-19

41.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)

42.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)

43.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)

44.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)

45.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.

46.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.

47.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.

48.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.

49.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.

50.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.

51.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. (IF=1.529, JCRQ3, 中科院Q4)

52.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. (IF = 1.038, JCRQ3, 中科院Q4)

53.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. (IF = 1.145, JCRQ3, 中科院Q4)

54.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. (IF = 2.787, JCRQ2, 中科院Q2)

55.常路宾, 胡柏青, 常国宾, . Marginalised iterated unscented Kalman filter[J]. IET Control Theory & Applications. 2012, 6(6): 847-854. (IF = 3.296, JCRQ2, 中科院Q3)

56.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. (IF = 2.024, JCRQ1, 中科院Q3)

57.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. (IF = 2.024, JCRQ1, 中科院Q3)

58.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. (IF = 1.336, JCRQ3, 中科院Q4)
































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