近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
期刊论文
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 three‐order 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,等.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,等.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,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)
42.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)
43.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)
44.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)
45.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.
46.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.
47.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.
48.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.
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,等.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,等.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,等.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,等.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)
京公网安备 11010802027423号