Results 11 to 20 of about 70,228 (184)

Distributed nonlinear Kalman filter with communication protocol [PDF]

Information Sciences, 2020
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Hilton Tnunay, Zhenhong Li, Zhengtao Ding   +2 more
openaire   +5 more sources

Sample greedy gossip distributed Kalman filter

Information Fusion, 2020
Abstract This paper investigates the problem of distributed state estimation over a low-cost sensor network and proposes a new sample greedy gossip distributed Kalman filter. The proposed algorithm leverages the information weighted fusion concept and the sample greedy gossip averaging protocol.
Hyo-Sang Shin, Shaoming He, Antonios Tsourdos   +2 more
openaire   +5 more sources

Electric Vehicle State Parameter Estimation Based on DICI-GFCKF

IEEE Access, 2022
To improve the estimation accuracy of the state parameters of distributed electric vehicles, a double inverse covariance intersection generalized fifth-order cubature Kalman filter (DICI-GFCKF) es-timation algorithm is proposed.
Zhang Rongyun, Liu Yaming, Shi Peicheng, Zhao Linfeng, Du Yufeng, Feng Yongle   +5 more
doaj   +1 more source

A hybrid cooperative navigation method for UAV swarm based on factor graph and Kalman filter

International Journal of Distributed Sensor Networks, 2022
Navigation plays an important role in the task execution of the micro-unmanned aerial vehicle (UAV) swarm. The Cooperative Navigation (CN) method that fuses the observation of onboard sensors and relative information between UAVs is a research hotspot ...
Mingxing Chen, Zhi Xiong, Jun Xiong, Rong Wang   +3 more
doaj   +1 more source

Distributed cooperative Kalman filter constrained by advection–diffusion equation for mobile sensor networks

Frontiers in Robotics and AI, 2023
In this paper, a distributed cooperative filtering strategy for state estimation has been developed for mobile sensor networks in a spatial–temporal varying field modeled by the advection–diffusion equation.
Ziqiao Zhang, Scott T. Mayberry, Wencen Wu, Fumin Zhang, Fumin Zhang   +4 more
doaj   +1 more source

Distributed Robust Dimensionality Reduction Fusion Estimation Under DoS Attacks and Uncertain Covariances

IEEE Access, 2021
This paper is concerned with the networked distributed fusion estimation problem under denial-of-service (DoS) attacks, where the noise covariances are unknown but bounded, and the distribution information of DoS attacks is not required to be known ...
Meng Xu, Yuchen Zhang, Dongmei Zhang, Bo Chen   +3 more
doaj   +1 more source

Distributed Kalman-filtering: Distributed optimization viewpoint [PDF]

2019 IEEE 58th Conference on Decision and Control (CDC), 2019
We consider the Kalman-filtering problem with multiple sensors which are connected through a communication network. If all measurements are delivered to one place called fusion center and processed together, we call the process centralized Kalman-filtering (CKF).
Ryu, Kunhee, Back, Juhoon
openaire   +2 more sources

Estimation of states and parameters of multi-axle distributed electric vehicle based on dual unscented Kalman filter

Science Progress, 2020
Distributed electric drive technology has become an important trend because of its ability to enhance the dynamic performance of multi-axle heavy vehicle.
Xiaofei Pei, Zhenfu Chen, Bo Yang, Duanfeng Chu   +3 more
doaj   +1 more source

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

2018 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

Study on Application and Development of Composite Kalman Filter in Geomagnetic Navigation [PDF]

Hangkong bingqi
Geomagnetic navigation, as an autonomous, passive, and highly concealed navigation method, has garnered significant attention in recent years within the fields of aerospace and underwater navigation.
You Gaoyun, Li Xinsan, Qin Weiwei, Li Ting, Shen Qiang, Li Can, Liao Shouyi
doaj   +1 more source