Multisensor estimation: New distributed algorithms.
Plataniotis, K.N., Lainiotis, D.G. (1996)
Mathematical Problems in Engineering
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Displaying similar documents to “Highly efficient sigma point filter for spacecraft attitude and rate estimation.”
Multisensor estimation: New distributed algorithms.
A discussion related to orbit determination using nonlinear sigma point Kalman filter.
Pardal, Paula Cristiane Pinto Mesquita, Kuga, Helio Koiti, Vilhena de Moraes, Rodolpho (2009)
Mathematical Problems in Engineering
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Recursive linear estimation for discrete-time systems in the presence of different multiplicative observation noises.
Sánchez-González, C., García-Muñoz, T.M. (2010)
Discrete Dynamics in Nature and Society
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State estimation in discrete-time distributed parameter systems under incomplete priori information about the system
Józef Korbicz (1985)
Kybernetika
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Approximation approach for nonlinear filtering problem with time dependent noises. I. Conditionally optimal filter in the minimum mean square sense
S. Hoang, Nguyen Thuc Loan, Rémy Baraille, Olivier Talagrand (1997)
Kybernetika
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Filtering of signals transmitted in multichannel from Chandrasekhar and Riccati recursions.
S. Nakamori, A. Hermoso, J. Jiménez, J. Linares (2005)
Extracta Mathematicae
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In this paper two recursive algorithms are proposed and compared as a solution of the least mean-squared error linear filtering problem of a wide-sense stationary scalar signal from uncertain observations perturbed by white and coloured additive noises. Considering that the state-space model of the signal is not available and that the variables modelling the uncertainty are not independent, the proposed algorithms are derived by using covariance information. The difference between both...
Nonlinear filtering for LIDAR signal processing.
Lainiotis, D.G., Papaparaskeva, Paraskevas, Plataniotis, Kostas (1996)
Mathematical Problems in Engineering
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Study of a least-squares-based algorithm for autoregressive signals subject to white noise.
Zheng, Wei Xing (2003)
Mathematical Problems in Engineering
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Consensus-based state estimation for multi-agent systems with constraint information
Chen Hu, Weiwei Qin, Zhenhua Li, Bing He, Gang Liu (2017)
Kybernetika
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This paper considers a distributed state estimation problem for multi-agent systems under state inequality constraints. We first give a distributed estimation algorithm by projecting the consensus estimate with help of the consensus-based Kalman filter (CKF) and projection on the surface of constraints. The consensus step performs not only on the state estimation but also on the error covariance obtained by each agent. Under collective observability and connective assumptions, we show...