Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12662
Title: Quadrature filters for one-step randomly delayed measurements
Authors: Singh, AK
Bhaumik, S
Date, P
Keywords: Nonlinear filtering;Randomly delayed measurements;Gauss–Hermite quadrature rule;Product rule;Smolyak rule
Issue Date: 2016
Publisher: Elsevier
Citation: Applied Mathematical Modelling, 40(19-20), (2016)
Abstract: In this paper, two existing quadrature filters, viz., the Gauss–Hermite filter (GHF) and the sparse-grid Gauss–Hermite filter (SGHF) are extended to solve nonlinear filtering problems with one step randomly delayed measurements. The developed filters are applied to solve a maneuvering target tracking problem with one step randomly delayed measurements. Simulation results demonstrate the enhanced accuracy of the proposed delayed filters compared to the delayed cubature Kalman filter and delayed unscented Kalman filter.
URI: http://www.sciencedirect.com/science/article/pii/S0307904X16302177
http://bura.brunel.ac.uk/handle/2438/12662
DOI: http://dx.doi.org/10.1016/j.apm.2016.04.016
ISSN: 0307-904X
Appears in Collections:Dept of Mathematics Research Papers

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