5 papers
Variational Bayesian Approximations Kalman Filter Based on Threshold Judgment
Zuxuan Zhang, Gang Wang, Jiacheng He +1
The estimation of non-Gaussian measurement noise models is a significant challenge across various fields. In practical applications, it often faces challenges due to the large numb…
A Covariance Adaptive Student's t Based Kalman Filter
Benyang Gong, Jiacheng He, Gang Wang +1
In the classical Kalman filter(KF), the estimated state is a linear combination of the one-step predicted state and measurement state, their confidence level change when the predic…
Interactive Model Fusion-Based GM-PHD Filter
Jiacheng He, Shan Zhong, Bei Peng +2
In multi-target tracking (MTT), non-Gaussian measurement noise from sensors can diminish the performance of the Gaussian-assumed Gaussian mixture probability hypothesis density (GM…
Cubature Kalman filter Based on generalized minimum error entropy with fiducial point
Jiacheng He, Gang Wang, Zhenyu Feng +2
In real applications, non-Gaussian distributions are frequently caused by outliers and impulsive disturbances, and these will impair the performance of the classical cubature Kalma…
Minimum Error Entropy Rauch-Tung-Striebel Smoother
Jiacheng He, Hongwei Wang, Gang Wang +2
Outliers and impulsive disturbances often cause heavy-tailed distributions in practical applications, and these will degrade the performance of Gaussian approximation smoothing alg…