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most citedA Model Fusion Distributed Kalman Filter For Non-Gaussian Observation Noise

9 citations · 11 across the 11 of their papers we have counts for

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eess.SY2023

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…

eess.SY2023

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…