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Distributed Periodic Steady State Kalman Filter
, 2022 In this paper a distributed implementation for the periodic steady state Kalman filter is proposed. The distributed algorithm has parallel structure and can be implemented using processors in parallel without idle time.
Assimakis N., Adam M., Massouros C.
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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
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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
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Distributed consensus strong tracking filter for wireless sensor networks with model mismatches
International Journal of Distributed Sensor Networks, 2017 A distributed consensus strong tracking filter is developed and investigated for the target tracking problems with model mismatches in wireless sensor networks.
Quansheng Liu, Chongpeng Huang, Li Peng
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Distributed Orbit Determination for Global Navigation Satellite System with Inter-Satellite Link
Sensors, 2019 To keep the global navigation satellite system functional during extreme conditions, it is a trend to employ autonomous navigation technology with inter-satellite link.
Yuanlan Wen +4 more
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Distributed Filter with Consensus Strategies for Sensor Networks
Journal of Applied Mathematics, 2013 Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is ...
Xie Li, Huang Caimou, Hu Haoji
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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
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Distributed finite element Kalman filter [PDF]
2015 European Control Conference (ECC), 2015 This paper addresses state estimation for spatially distributed systems governed by linear partial differential equations from discrete in-space-and-time noisy measurements provided by sensors deployed over the spatial domain of interest. A decentralised and scalable approach is undertaken by decomposing the domain into overlapping subdomains assigned ...
BATTISTELLI, GIORGIO +4 more
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A Distributed Diffusion Kalman Filter in MultiTask Networks
International Journal of Advanced Networking and Applications, 2022 The Distributed Diffusion Kalman Filter (DDKF) algorithm has earned great attention lately and shows an elaborate way to address the issue of distributed optimization over networks. Estimation and tracking of a single state vector collectively by nodes have been the point of focus. However, there are several multi-task-oriented issues where the optimal
Ijeoma Amuche Chikwendu +3 more
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Distributed radar tracking using the double debiased distributed Kalman filter
, 2022 S.1124-1129The distributed Kalman filter requires the measurement covariances of remote radar nodes to be known at all radar nodes. This is not possible for a radar network, as the true measurement covariances depend on the radar-target geometry and the ...
Charlish, A., Govaers, F., Koch, W.
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