Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5471256 | Applied Mathematical Modelling | 2016 | 24 Pages |
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.
Keywords
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Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Abhinoy Kumar Singh, Shovan Bhaumik, Paresh Date,