Results 41 to 50 of about 70,135 (188)
, 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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Ensemble Kalman filtering without the intrinsic need for inflation [PDF]
Nonlinear Processes in Geophysics, 2011 The main <i>intrinsic</i> source of error in the ensemble Kalman filter (EnKF) is sampling error. External sources of error, such as model error or deviations from Gaussianity, depend on the dynamical properties of the model.
M. Bocquet
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Distributed closed-loop EO-STBC for a time-varying relay channel based on kalman tracking [PDF]
, 2012 This paper considers distributed closed-loop extended orthogonal space-time block coding (EO-STBC) for amplify-forward relaying over time-varying channels.
Alrmah, Mohamed Abubaker +2 more
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Unscented Kalman Filter Based Attitude Estimation of a Quadrotor
Havacılık ve Uzay Teknolojileri Dergisi, 2021 Quadrotors are well - known unmanned aerial vehicle structures that have some advantages such as hovering, vertical take – off and landing, and low – speed flight. On the other hand, quadrotors are subjected to modeling and sensor uncertainties that lead
Aziz Kaba
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A Bayesian approach to distributed optimal filtering over a ring network
Measurement: Sensors, 2021 This paper is concerned with the state estimation over a sensor network. Distributed estimation algorithms enable us to estimate the system state using the information from other sensors, even when the state is not completely observable from some sensors.
Akihiro Tsuji +2 more
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IEEE Access, 2020 In this paper, an improved distributed unscented Kalman particle filter (DUKPF) is proposed for the problem of tracking a single moving acoustic source in noisy and reverberant environments with distributed microphone networks.
Qiaoling Zhang +3 more
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Discrete EKF with pairwise Time Correlated Measurement Noise for Image-Aided Inertial Integrated Navigation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 An image-aided inertial navigation implies that the errors of an inertial navigator are estimated via the Kalman filter using the aiding measurements derived from images.
N. S. Gopaul, J. G. Wang, B. Hu
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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.
Z. Lendek, R. Babuška, B. De Schutter
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Model error and sequential data assimilation. A deterministic formulation
, 2008 Data assimilation schemes are confronted with the presence of model errors arising from the imperfect description of atmospheric dynamics. These errors are usually modeled on the basis of simple assumptions such as bias, white noise, first order Markov ...
Carrassi, A., Nicolis, C., Vannitsem, S.
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