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in a complex background and kernel function bandwidth of Mean Shift was not changeable, integrated Kalman filter to adaptive bandwidth Mean Shift Tracking algorithm was proposed. Taking object position obtained from Mean Shift as Kalman filter measure value, Kalman filter is used to get the predicted starting position of Mean Shift in every frame. The object size change by the affine transformation......
J. Cent. South Univ. (2020) 27: 1780-1789 DOI: https://doi.org/10.1007/s11771-020-4407-x Galerkin-based extended Kalman filter with application to CO2 removal system LV Ming-bo(吕明博), LI Yun-hua(李运华... the actual system conditions and then the Galerkin-based extended Kalman filter algorithm is proposed for the estimation of the state of CO2. This method transforms partial differential equation to ordinary......
J. Cent. South Univ. (2016) 23: 1399-1405 DOI: 10.1007/s11771-016-3192-z Robust range-parameterized cubature Kalman filter for bearings-only tracking WU Hao(吴昊), CHEN Shu-xin(陈树新), YANG Bin-feng(杨宾峰... to improve tracking accuracy when initial estimate is inaccurate or outliers exist, a bearings-only tracking approach called the robust range-parameterized cubature Kalman filter (RRPCKF) was proposed......
:Inherent flaws in the extended Kalman filter (EKF) algorithm were pointed out and unscented Kalman filter (UKF) was put forward as an alternative. Furthermore, a novel adaptive unscented Kalman filter... that AUKF reduces the position error approximately by 65% compared with EKF and by 35% UKF and improves the robust performance.Key words:human occupied vehicle; navigation; extended Kalman filter; unscented......
Fuzzy adaptive Kalman filter for indoor mobile target positioning with INS/WSN integrated methodYANG Hai(杨海), LI Wei(李威), LUO Cheng-ming(罗成名) (School of Mechatronic Engineering, China University... network (WSN) associated with the INS was applied to estimate the mobile target positioning. Taking traditional Kalman filter (KF) as the framework, the system equation of KF was established......
J. Cent. South Univ. (2017) 24: 2342-2352 DOI: https://doi.org/10.1007/s11771-017-3646-y Blind adaptive constrained constant modulus algorithms based on unscented Kalman filter for beamforming QIAN..., China Central South University Press and Springer-Verlag GmbH Germany 2017 Abstract: This work proposes constrained constant modulus unscented Kalman filter (CCM-UKF) algorithm and its low-complexity......
by Kalman filter’s prediction step. On the other hand, the high nonlinearity in the observation equation due to lever arm effect is addressed by unscented Kalman filter’s update step to attain higher...; lever arm effect; Kalman filter; unscented Kalman filter......
servo systems of torque motor based on Kalman filter LIU Jianlin1, 2, SHI Dafa2, LUO Derong1 (1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; 2. Department... of torque motor direct drive rotary table, Kalman filter based digital sliding mode control strategy was presented. Firstly, considering that computers were used in most of the control method......
ARTICLE J. Cent. South Univ. (2019) 26: 1402-1415 DOI: https://doi.org/10.1007/s11771-019-4096-5 SOC estimation based on data driven exteaded Kalman filter algorithm for power battery of electric... of EKF (extended Kalman filter) algorithm for the battery model and the dynamic requirements of battery mode in life cycle or a charge and discharge period, a completely data-driven SOC estimation......
; 文章编号:1672-7207(2011)S1-0436-05 Robust Kalman filter with confidence degree in INS/GPS integrated navigation PAN Qian-xi, ZHAO Long, ZHANG Chang-yun (National Key Laboratory of Science..., a robust Kalman filter was designed. In this algorithm, prediction residual statistics is used to determine abnormal observations on the base of reliable motion model. Under a certain degree of confidence......
