Distributed estimation through randomized gossip Kalman filter [PDF]
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009 In this paper we consider the problem of estimating a random process from noisy measurements, collected by a sensor network. We analyze a distributed two-stage algorithm. The first stage is a Kalman-like estimate update, in which each agent makes use only of its own measurements.
DEL FAVERO, SIMONE, ZAMPIERI, SANDRO
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Optimal Energy Allocation for Kalman Filtering over Packet Dropping Links with Imperfect Acknowledgments and Energy Harvesting Constraints [PDF]
, 2014 This paper presents a design methodology for optimal transmission energy allocation at a sensor equipped with energy harvesting technology for remote state estimation of linear stochastic dynamical systems.
Dey, Subhrakanti +2 more
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Distributed Kalman filter via Gaussian Belief Propagation [PDF]
2008 46th Annual Allerton Conference on Communication, Control, and Computing, 2008 8 pages, 3 figures, appeared in the 46th Annual Allerton Conference on Communication, Control and Computing, Allerton House, Illinois, Sept ...
Bickson, Danny +2 more
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Kalman Filter for Noise Reduction in Aerial Vehicles using Echoic Flow [PDF]
, 2020 Echolocation is a natural phenomenon observed in bats that allows them to navigate complex, dim environments with enough precision to capture insects in midair.
Palo, Andrew
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Distributed Robust Kalman Filtering with Unknown and Noisy Parameters in Sensor Networks
Discrete Dynamics in Nature and Society, 2018 This paper investigates the distributed filtering for discrete-time-invariant systems in sensor networks where each sensor’s measuring system may not be observable, and each sensor can just obtain partial system parameters with unknown coefficients which
Donghua Chen +3 more
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Derivation of a Kalman-type filter for linear systems with pointwise delay in signal noise
Boundary Value Problems, 2022 Recently, it was demonstrated that a modification of the Kalman-filtering model with a pointwise delay of the signal noise could improve communication with considerably distanced spacecraft.
Kinda Abuasbeh, Agamirza E. Bashirov
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Receding horizon filtering for a class of discrete time-varying nonlinear systems with multiple missing measurements [PDF]
, 2014 This paper is concerned with the receding horizon filtering problem for a class of discrete time-varying nonlinear systems with multiple missing measurements.
Bo Shen +4 more
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Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays [PDF]
, 2012 This is the post-print version of the Article. The official published version can be accessed from the links below - Copyright @ 2012 ACM.This article is concerned with a new distributed state estimation problem for a class of dynamical systems in sensor
Cattivelli F. S. +7 more
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, 2013 Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Das, Subhro, Moura, Jose
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Distributed Kalman‐Consensus Filtering for Sparse Signal Estimation [PDF]
Mathematical Problems in Engineering, 2014 A Kalman filtering‐based distributed algorithm is proposed to deal with the sparse signal estimation problem. The pseudomeasurement‐embedded Kalman filter is rebuilt in the information form, and an improved parameter selection approach is discussed. By introducing the pseudomeasurement technology into Kalman‐consensus filter, a distributed estimation ...
Yisha Liu, Haiyang Yu, Jian Wang
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