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Real‐time Kalman filtering based on distributed measurements
International Journal of Robust and Nonlinear Control, 2012SUMMARYA kind of real‐time Kalman filtering problem is discussed for systems with distributed multichannel measurements. Recursive filters are presented for two cases with correlated and uncorrelated measurement noises. An optimal algorithm is constructed using projection theory in Hilbert space according to a first‐come‐first‐served scheme.
Lam, J, Cui, P, Zhang, H, Ma, L
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Distributed Kalman Filter with Embedded Consensus Filters
Proceedings of the 44th IEEE Conference on Decision and Control, 2006The problem of distributed Kalman filtering (DKF) for sensor networks is one of the most fundamental distributed estimation problems for scalable sensor fusion. This paper addresses the DKF problem by reducing it to two separate dynamic consensus problems in terms of weighted measurements and inverse-covariance matrices.
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Convergence results in distributed Kalman filtering
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In particular, it is shown that, in a weakly connected communication network, there exist (randomized) gossip based information dissemination schemes leading to a stochastically bounded ...
Soummya Kar +3 more
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Scalable distributed Kalman filtering through consensus
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008Kalman filtering is a classical technique with a number of potential distributed applications in sensor networks. In this paper we consider a specific algorithm for distributed Kalman filtering proposed recently by Olfati-Saber [Olfati-Saber, 2005 ].
Shrut Kirti, Anna Scaglione
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Stability of distributed extended Kalman filters
2017 22nd International Conference on Digital Signal Processing (DSP), 2017The need for faster and more robust parameter estimates in the smart grid, together with the growth in multi-sensor distributed measurements has motivated the development of distributed extended Kalman filtering (EKF) algorithms. However, fundamental theoretical insights about the convergence and stability of these distributed extended Kalman filtering
Sithan Kanna, Danilo P. Mandic
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A distributed maximum correntropy Kalman filter
Signal Processing, 2019Abstract Most distributed Kalman filters are based on the cost function of the well-known minimum mean square estimation criterion, which performs well in the presence of Gaussian noise. When impulsive noise is involved, the performance of distributed Kalman filters may become worse.
Gang Wang, Rui Xue, Jinxin Wang
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Globally optimal distributed Kalman filtering fusion
Science China Information Sciences, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shen, Xiaojing +3 more
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Distributed Lattice Kalman Filtering
2023 China Automation Congress (CAC), 2023Shihang Li +4 more
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Distributed Kalman filtering for sensor networks
2007 46th IEEE Conference on Decision and Control, 2007In this paper, we introduce three novel distributed Kalman filtering (DKF) algorithms for sensor networks. The first algorithm is a modification of a previous DKF algorithm presented by the author in CDC-ECC '05. The previous algorithm was only applicable to sensors with identical observation matrices which meant the process had to be observable by ...
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Distributed Kalman Filtering Over Sensor Networks With Transmission Delays
IEEE Transactions on Cybernetics, 2021Hongjiu Yang, Hui Li, Yuanqing Xia
exaly