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http://bura.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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fulltext.pdf | 667.35 kB | Adobe PDF | View/Open |
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