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Recolector de Ciencia Abierta, RECOLECTA
Conference object . 2009
Data sources: Recolector de Ciencia Abierta, RECOLECTA
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Recolector de Ciencia Abierta, RECOLECTA
Conference object . 2001
Data sources: Recolector de Ciencia Abierta, RECOLECTA
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Archivo Abierto Institucional de la Universidad Rey Juan Carlos
Conference object . 2009
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https://doi.org/10.1109/vtc.20...
Article . 2002 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2018
Data sources: DBLP
https://dx.doi.org/10.1109/vtc...
Article
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Claim

Blind adaptive Krylov subspace multiuser detection

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 13 Nov 2002 Spain Publisher:IEEEJournal:IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211), volume 4, pages 2,338-2,341
Authors: Caamaño, Antonio J.; Segovia Vargas, Daniel; Ramos, Javier;

doi: 10.1109/vtc.2001.957166

handle: 10115/2227

Blind adaptive Krylov subspace multiuser detection

Abstract

A new method for low-complexity Multiuser Detection (MUD)based in the Fast Subspace Decomposition (FSD) is proposed. The use of FSD allows the estimation of the number of users along with the multiuser detection on line. This leads to a fast multiuser estimation-detection scheme with ultra-low complexity. Furthermore, the method is proved to be strongly consistent and blind. This is applied here to the MMSE.Results included show MMSE performance at a fraction of the computational cost reported until now. The use for UMTS-TDD receivers is also proposed.

Teoría de la Señal y Comunicaciones

Country
Spain
Related Organizations
Keywords

Telecomunicaciones, 3325 Tecnología de las Telecomunicaciones

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
Green