An optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-Gaussian noise
In this paper, we address the problem of estimating the parameters of multicomponent polynomial phase signals in impulsive noise which arises in many practical situations. In the presence of this non-standard noise, existing techniques perform can poorly. We propose a nonlinear M-estimation approach...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/26972 |
| _version_ | 1848752135258243072 |
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| author | Pham, DucSon Leung, Yee-Hong Teo, Kok Zoubir, A. |
| author_facet | Pham, DucSon Leung, Yee-Hong Teo, Kok Zoubir, A. |
| author_sort | Pham, DucSon |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we address the problem of estimating the parameters of multicomponent polynomial phase signals in impulsive noise which arises in many practical situations. In the presence of this non-standard noise, existing techniques perform can poorly. We propose a nonlinear M-estimation approach to improve the existing techniques. The phase parameters are obtained by solving a nonlinear optimisation problem. A procedure is proposed to find the global minimum at low computational cost. Simulation examples show the proposed method performs better than existing methods |
| first_indexed | 2025-11-14T08:03:48Z |
| format | Conference Paper |
| id | curtin-20.500.11937-26972 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:03:48Z |
| publishDate | 2006 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-269722023-02-27T07:33:16Z An optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-Gaussian noise Pham, DucSon Leung, Yee-Hong Teo, Kok Zoubir, A. In this paper, we address the problem of estimating the parameters of multicomponent polynomial phase signals in impulsive noise which arises in many practical situations. In the presence of this non-standard noise, existing techniques perform can poorly. We propose a nonlinear M-estimation approach to improve the existing techniques. The phase parameters are obtained by solving a nonlinear optimisation problem. A procedure is proposed to find the global minimum at low computational cost. Simulation examples show the proposed method performs better than existing methods 2006 Conference Paper http://hdl.handle.net/20.500.11937/26972 10.1109/APCCAS.2006.342150 IEEE Computer Society fulltext |
| spellingShingle | Pham, DucSon Leung, Yee-Hong Teo, Kok Zoubir, A. An optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-Gaussian noise |
| title | An optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-Gaussian noise |
| title_full | An optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-Gaussian noise |
| title_fullStr | An optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-Gaussian noise |
| title_full_unstemmed | An optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-Gaussian noise |
| title_short | An optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-Gaussian noise |
| title_sort | optimisation approach to robust estimation of mulitcomponent polynomial phase signals in non-gaussian noise |
| url | http://hdl.handle.net/20.500.11937/26972 |