Results 11 to 20 of about 8,582 (299)
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
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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
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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).
Kunhee Ryu, Juhoon Back
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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
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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
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Distributed Kalman filtering for cascaded systems [PDF]
Engineering Applications of Artificial Intelligence, 2008 The Kalman filter provides an efficient means to estimate the state of a linear process, so that it minimizes the mean of the squared estimation error. However, for naturally distributed applications, the construction and tuning of a centralized observer may present difficulties.
Zsófia Lendek +2 more
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A study on the effects of Kalman Filter on performance of IPMC-Based Active Vibration Control Scheme [PDF]
, 2010 This paper evaluates the effectiveness and performance of Ionic Polymer Metal Composite (IPMC) based active vibration control scheme equipped with the Kalman estimation algorithm.
Bandopadhya, Dibakar +1 more
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Distributed ensemble Kalman filtering
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 We address the problem of distributed filtering in a wireless sensor network and develop distributed approximations of three variants of the ensemble Kalman filter. We express the update equations in an alternative information form in order to formulate a distributed measurement update mechanism.
Arslan Shahid +2 more
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Effective-SNR estimation for wireless sensor network using Kalman filter [PDF]
, 2013 In many Wireless Sensor Network (WSN) applications, the availability of a simple yet accurate estimation of the RF channel quality is vital. However, due to measurement noise and fading effects, it is usually estimated through probe or learning based ...
Dai, Xuewu +6 more
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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 +3 more
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