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Robust multiuser detection in α-stable distribution non-Gaussian noise
| dc.creator | Zhang, Jing | |
| dc.date.accessioned | 2012-06-07T23:19:42Z | |
| dc.date.available | 2012-06-07T23:19:42Z | |
| dc.date.created | 2002 | |
| dc.date.issued | 2002 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-2002-THESIS-Z33 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references (leaves 72-73). | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | In this thesis, we will model the ambient non-Gaussian noise as the α-stable distribution because this model has many attractive properties. By using this noise model, the robust multiuser detectors achieve significant performance gain, and the two-direction slowest-decent-search technique is still effective. The subspace-based technique for blind adaptive robust multiuser detectors, however, doesn't work very well when the ambient non Gaussian noise is α-stable distribution. In the last chapter, we will develop a density estimator for the α-stable non-Gaussian noise. Simulations show this density estimator works very well and efficiently. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | electrical engineering. | en |
| dc.subject | Major electrical engineering. | en |
| dc.title | Robust multiuser detection in α-stable distribution non-Gaussian noise | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | electrical engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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