Results 41 to 50 of about 3,435,907 (207)
Density Difference Grid Design in a Point-Mass Filter
Energies, 2020 The paper deals with the Bayesian state estimation of nonlinear stochastic dynamic systems. The stress is laid on the point-mass filter, solving the Bayesian recursive relations for the state estimate conditional density computation using the ...
Jakub Matoušek +2 more
doaj +1 more source
Aircraft Inertial Measurement Unit Fault Diagnosis Based on Optimal Two-Stage UKF [PDF]
Xibei Gongye Daxue Xuebao, 2018 Optimal two stage Kalman filter (OTSKF) is able to obtain optimal estimation of system states and bias for linear system which contains random bias. Unscented Kalman filter (UKF) is a conventional nonlinear filtering method which utilizes Sigmas point ...
doaj +1 more source
A differential geometric approach to nonlinear filtering: the projection filter [PDF]
IEEE Transactions on Automatic Control, 1998 This paper provides an introduction to projection filters (PF) in the case of probability densities in exponential families. Filters are derived using the geometric approach. Some numerical simulations are given for the cubic sensor problem.
Brigo, Damiano +2 more
openaire +5 more sources
Research on a Fast Image-Matching Algorithm Based on Nonlinear Filtering
AlgorithmsComputer vision technology is being applied at an unprecedented speed in various fields such as 3D scene reconstruction, object detection and recognition, video content tracking, pose estimation, and motion estimation.
Chenglong Yin +4 more
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Distributed High-Degree Cubature Information Filter With Embedded Hybrid Consensus
IEEE Access, 2019 To settle the problem of distributed nonlinear state estimation in sensor networks with naive nodes, a novel distributed high-degree cubature information filter with embedded hybrid consensus (DHCIF) is proposed.
Jun Liu +4 more
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UAV Attitude Estimation Using Nonlinear Filtering and Low-Cost Mems Sensors
, 2016 : Integration of low-cost Micro-Electro-Mechanical Systems (MEMS) in the design of Inertial Navigation Systems (INS) for real-time guidance, navigation, and control of flying vehicles often results in low precision, poor accuracy, and degraded ...
Belkacem Kada +4 more
semanticscholar +1 more source
Improved error bounds for quantization based numerical schemes for BSDE and nonlinear filtering [PDF]
, 2015 We take advantage of recent (see~\cite{GraLusPag1, PagWil}) and new results on optimal quantization theory to improve the quadratic optimal quantization error bounds for backward stochastic differential equations (BSDE) and nonlinear filtering problems ...
G. Pagès, Abass Sagna Lpma LaMME
semanticscholar +1 more source
International Journal of Advanced Robotic Systems, 2011 The paper proposes derivative-free nonlinear Kalman Filtering for MIMO nonlinear dynamical systems. The considered nonlinear filtering scheme which is based on differential flatness theory extends the class of systems to which Kalman Filtering can be ...
Gerasimos G. Rigatos
doaj
A Particle Filter for Smartphone-Based Indoor Pedestrian Navigation
Micromachines, 2014 This paper considers the problem of indoor navigation by means of low-cost mobile devices. The required accuracy, the low reliability of low-cost sensor measurements and the typical unavailability of the GPS signal make indoor navigation a challenging ...
Andrea Masiero +3 more
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Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon [PDF]
IEEE/CAA Journal of Automatica Sinica, 2017 This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has been a challenge encountered in a wide range of engineering fields, attracting decades of research effort.
H. Fang +4 more
semanticscholar +1 more source