Results 21 to 30 of about 202,753 (224)

Distributed Kalman Filtering: Consensus, Diffusion, and Mixed [PDF]

open access: yes2018 IEEE Conference on Control Technology and Applications (CCTA), 2018
A distributed Kalman filtering technique is developed for tracking state-space processes via sensor networks. Considering the optimal solution to multi-agent sequential filtering of linear Gaussian state-space processes, that is the centralized Kalman filter, this work focuses on decomposing and distributing the operation of the centralized Kalman ...
Talebi, Sayed Pouria, Werner, Stefan
openaire   +2 more sources

Distributed nonlinear Kalman filter with communication protocol [PDF]

open access: yesInformation Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hilton Tnunay   +2 more
openaire   +3 more sources

Globally Optimal Multisensor Distributed Random Parameter Matrices Kalman Filtering Fusion with Applications

open access: yesSensors, 2008
This paper proposes a new distributed Kalman filtering fusion with random state transition and measurement matrices, i.e., random parameter matrices Kalman filtering.
Donghua Wang   +5 more
doaj   +1 more source

Kalman Filtering with Uncertain Process and Measurement Noise Covariances with Application to State Estimation in Sensor Networks [PDF]

open access: yes, 2007
Distributed state estimation under uncertain process and measurement noise covariances is considered. An algorithm based on sensor fusion using Kalman filtering is investigated.
Johansson, Karl Henrik   +2 more
core   +2 more sources

Robust Inference for State-Space Models with Skewed Measurement Noise [PDF]

open access: yes, 2015
Filtering and smoothing algorithms for linear discrete-time state-space models with skewed and heavy-tailed measurement noise are presented. The algorithms use a variational Bayes approximation of the posterior distribution of models that have normal ...
Ardeshiri, Tohid   +3 more
core   +2 more sources

A New Adaptive H-Infinity Filtering Algorithm for the GPS/INS Integrated Navigation

open access: yesSensors, 2016
The Kalman filter is an optimal estimator with numerous applications in technology, especially in systems with Gaussian distributed noise. Moreover, the adaptive Kalman filtering algorithms, based on the Kalman filter, can control the influence of ...
Chen Jiang, Shu-Bi Zhang, Qiu-Zhao Zhang
doaj   +1 more source

Distributed extended Kalman filtering for state-saturated nonlinear systems subject to randomly occurring cyberattacks with uncertain probabilities

open access: yesAdvances in Difference Equations, 2020
In this paper, the extended Kalman filtering scheme in a distributed manner is presented for state-saturated nonlinear systems (SSNSs), where the randomly occurring cyberattacks (ROCAs) with uncertain occurring probabilities (UOPs) are taken into account.
Jiaxing Li   +3 more
doaj   +1 more source

Gossip and Distributed Kalman Filtering: Weak Consensus under Weak Detectability [PDF]

open access: yes, 2010
The paper presents the gossip interactive Kalman filter (GIKF) for distributed Kalman filtering for networked systems and sensor networks, where inter-sensor communication and observations occur at the same time-scale.
Kar, Soummya, Moura, José M. F.
core   +1 more source

Randomized Consensus-Based Distributed Kalman Filtering Over Wireless Sensor Networks [PDF]

open access: yesIEEE Transactions on Automatic Control, 2018
This article is concerned with developing a novel distributed Kalman filtering algorithm over wireless sensor networks based on randomized consensus strategy.
Jiahu Qin, Jie Wang, Ling Shi, Yu Kang
semanticscholar   +1 more source

Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries

open access: yesAsilomar Conference on Signals, Systems and Computers, 2021
This paper proposes a privacy-preserving distributed Kalman filter (PP-DKF) to protect the private information of individual network agents from being acquired by honest-but-curious (HBC) adversaries. The proposed approach endows privacy by incorporating
Ashkan Moradi   +3 more
semanticscholar   +1 more source

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