Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches

T Li, H Liang, B Xiao, Q Pan, Y He - Information Fusion, 2023 - Elsevier
From the celebrated Gaussian mixture, model averaging estimators to the cutting-edge multi-
Bernoulli mixture of various forms, finite mixture models offer a fundamental and flexible …

[HTML][HTML] Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique

KR Madhavi, MNM Nawi, BB Reddy, K Baboji… - Measurement …, 2023 - Elsevier
Abstract When using a Wireless Sensor Network (WSN) for target tracking applications,
optimum selection of right functioning nodes can reduce the number of active nodes and …

Trust-Based Distributed H Diffusion Filtering for Target Tracking Under Cyber Attacks

Y Gao, H Zhu, X Li, MJV Amuri - IEEE Access, 2023 - ieeexplore.ieee.org
Concerning the problem of target tracking in wireless sensor networks under cyber attacks,
this paper proposes a trust-based distributed diffusion filtering method, designed to maintain …

Distributed point-mass filter with reduced data transfer using copula theory

J Matoušek, J Duník, R Forsling - 2023 American Control …, 2023 - ieeexplore.ieee.org
This paper deals with distributed Bayesian state estimation of generally nonlinear stochastic
dynamic systems. In particular, distributed point-mass filter algorithm is developed. It is …

[图书][B] Target Tracking with Random Finite Sets

W Wu, H Sun, M Zheng, W Huang - 2023 - Springer
In the process of research on target tracking and information fusion, the authors were deeply
impressed by the great influence of the random finite set (RFS) theory. As a scientific top …

Distributed Bayesian Tracking on the Special Euclidean Group Using Lie Algebra Parametric Approximations

CJ Bordin, CG de Figueredo… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
This paper proposes new distributed particle filters for tracking the state of a dynamic system
that evolves on the Special Euclidean Group. The algorithms are based on the Random …