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…
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…
Quantized criterion-based kernel recursive least squares adaptive filtering for time series prediction
Jiacheng He, Gang Wang, Kun Zhang +2
The robustness of the kernel recursive least square (KRLS) algorithm has recently been improved by combining them with more robust information-theoretic learning criteria, such as…
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…