El-Keyi, Amr ; Kirubarajan, Thia ; Gershman, Alex (2005)
A state-space approach to robust multiuser detection.
First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2005). Puerto Vallarta, Mexico (13.12.2005-15.12.2005)
doi: 10.1109/TWC.2007.06057
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we develop a state-space approach to the blind multiuser detection problem with robustness against arbitrary mismatches in the desired user signature. A statespace approach to the decision directed detection problem and an algorithm for switching between the two detection techniques are also presented. The proposed switching algorithm can achieve an output signal-to-interference-plusnoise ratio (SINR) comparable to that of the minimum mean square error (MMSE) detector without any training even in the presence of desired user signature mismatches.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2005 |
Autor(en): | El-Keyi, Amr ; Kirubarajan, Thia ; Gershman, Alex |
Art des Eintrags: | Bibliographie |
Titel: | A state-space approach to robust multiuser detection |
Sprache: | Englisch |
Publikationsjahr: | 2005 |
Ort: | Piscataway, NJ |
Verlag: | IEEE Operations Center |
Buchtitel: | IEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing |
Veranstaltungstitel: | First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2005) |
Veranstaltungsort: | Puerto Vallarta, Mexico |
Veranstaltungsdatum: | 13.12.2005-15.12.2005 |
DOI: | 10.1109/TWC.2007.06057 |
Kurzbeschreibung (Abstract): | In this paper, we develop a state-space approach to the blind multiuser detection problem with robustness against arbitrary mismatches in the desired user signature. A statespace approach to the decision directed detection problem and an algorithm for switching between the two detection techniques are also presented. The proposed switching algorithm can achieve an output signal-to-interference-plusnoise ratio (SINR) comparable to that of the minimum mean square error (MMSE) detector without any training even in the presence of desired user signature mismatches. |
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik |
Hinterlegungsdatum: | 20 Nov 2008 08:21 |
Letzte Änderung: | 20 Dez 2024 07:43 |
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