Gaussian mixture particle jump-Markov-CPHD fusion for multitarget tracking using sensors with limited views

K Da, T Li, Y Zhu, Q Fu - IEEE Transactions on Signal and …, 2020 - ieeexplore.ieee.org
In this article, we propose a multisensor cardinalized probability density hypothesis (CPHD)
filter for tracking an unknown number of targets that may maneuver over time by using a …

Distributed auxiliary particle filtering with diffusion strategy for target tracking: A dynamic event-triggered approach

W Song, Z Wang, J Wang, FE Alsaadi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper investigates the particle filtering problem for a class of nonlinear/non-Gaussian
systems under the dynamic event-triggered protocol. In order to avert frequent data …

Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception

R Ouyang, BKH Low - Autonomous Robots, 2020 - Springer
This paper presents novel Gaussian process decentralized data fusion algorithms exploiting
the notion of agent-centric support sets for distributed cooperative perception of large-scale …

[图书][B] Multiagent systems: introduction and coordination control

MS Mahmoud - 2020 - taylorfrancis.com
Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in
the intelligent resource management and agent-oriented technology, which deals with …

Cooperative parameter estimation on the unit sphere using a network of diffusion particle filters

CG de Figueredo, CJ Bordin… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
We introduce in this paper novel Bayesian distributed estimation algorithms for tracking the
hidden state of a system that evolves on a spherical manifold. In the proposed method …

Distributed fault diagnosis of nonlinear stochastic systems with monitoring networks

IA Raptis, E Noursadeghi - IEEE Access, 2020 - ieeexplore.ieee.org
The design of a distributed fault detection and isolation filter is addressed for stochastic
nonlinear systems subjected to multiple failure modes. The monolithic process is monitored …

A decentralized PHD filter for multi-target tracking in asynchronous multi-static radar system

Q Yang, W Yi, M Mallick - 2020 IEEE Radar Conference …, 2020 - ieeexplore.ieee.org
Asynchronism among the local radars is one of the most important challenges for multi-
target tracking (MTT) in multi-static radar systems. In order to address this challenge in the …

Distributed particle filter with online model learning for localization using time-difference-of-arrival (TDOA) measurements

CJ Panetta, ON Ennasr, X Tan - Dynamic Systems …, 2020 - asmedigitalcollection.asme.org
The problem of localizing a moving target arises in various forms in wireless sensor
networks. Deploying multiple sensing receivers and using the time-difference-of-arrival …