Results 11 to 20 of about 70,135 (188)
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 +3 more
doaj +1 more source
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 +3 more
doaj +1 more source
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 +4 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
The Optimal Distributed Kalman Filtering Fusion With Linear Equality Constraint
IEEE Access, 2021 In this paper, the optimal distributed Kalman filtering fusion with linear equality constraint (LEC) is proposed. When the Kalman filter subject to LEC is applied in state estimation of distributed linear dynamic system, all local error covariance ...
Hua Li, Shengli Zhao
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
Distributed nonlinear Kalman filter with communication protocol [PDF]
Information Sciences, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hilton Tnunay +2 more
openaire +3 more sources
Study on Application and Development of Composite Kalman Filter in Geomagnetic Navigation [PDF]
Hangkong bingqiGeomagnetic 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
Distributed Kalman Filtering Under Model Uncertainty [PDF]
IEEE Transactions on Control of Network Systems, 2020 We study the problem of distributed Kalman filtering for sensor networks in the presence of model uncertainty. More precisely, we assume that the actual state-space model belongs to a ball, in the Kullback-Leibler topology, about the nominal state-space model and whose radius reflects the mismatch modeling budget allowed for each time step.
openaire +2 more sources
IEEE Access, 2021 In this study, we present methods of optimization-based power system state estimation over sensor networks. By minimizing a composite loss function while ensuring that the state, disturbance, and measurement noise constraints are satisfied, the best or ...
Jinsung Kim +4 more
doaj +1 more source