Robust multiuser detection in α-stable distribution non-Gaussian noise /
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...
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| Format: | Thesis eBook |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
2002.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | 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. |
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| Item Description: | "Major subject: Electrical Engineering". Vita. |
| Physical Description: | xi, 74 leaves : illustrations ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references (leaves 72-73). |