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Open access Sep 2026

Distributed Variational Bayesian-Assisted Unscented Kalman Filter for Human Localization Under Indoor Environments

Herein, the distributed variational Bayesian-assisted unscented Kalman filter (VB-UKF) is used to enhance the accuracy of pedestrian positioning. For this method, a distributed filter is employed. First, the UKF under colored measurement noise (CMN) is derived. The VB-assisted method is then derived. Subsequently, the...

Mao-Xiang Zhou, Hao-Ran Yin, Huan-Kun Liu et al. · 0 citations
Open access 2026

Recursive$\mathcal { \, L}_{2}$-to-$\mathcal {L}_\infty$ Filtering of Disturbed Models Based on the Backward Euler Method

When a system operates under impulsive disturbances and conventional state estimation methods become ineffective, robust peak error reduction is required. In this paper, the <italic>error-to-error transfer function</italic> approach is used to compute the bias correction gain <inline-formula><tex-math notation="LaTeX">...

O. Ibarra-Manzano, Shun-Yi Zhao, Yuan Xu et al. · 0 citations

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