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Titolo:
Nonlinear group-blind multiuser detection
Autore:
Spasojevic, P; Wang, XD; Host-Madsen, A;
Indirizzi:
Rutgers State Univ, WINLAB, Piscataway, NJ 08854 USA Rutgers State Univ Piscataway NJ USA 08854 NLAB, Piscataway, NJ 08854 USA Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA Texas A&M UnivCollege Stn TX USA 77843 t Engn, College Stn, TX 77843 USA Univ Calgary, Dept Elect Engn, Calgary, AB T2L 2K7, Canada Univ Calgary Calgary AB Canada T2L 2K7 Engn, Calgary, AB T2L 2K7, Canada
Titolo Testata:
IEEE TRANSACTIONS ON COMMUNICATIONS
fascicolo: 9, volume: 49, anno: 2001,
pagine: 1631 - 1641
SICI:
0090-6778(200109)49:9<1631:NGMD>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
MULTIPLE-ACCESS COMMUNICATIONS; INTERFERENCE CANCELLATION; DECISION-FEEDBACK; CDMA CHANNELS; RECEIVER; SYSTEMS; NOISE;
Keywords:
group-blind; multipath; multiuser detection; non-Gaussian noise; slowest-descent search; subspace;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
36
Recensione:
Indirizzi per estratti:
Indirizzo: Spasojevic, P Rutgers State Univ, WINLAB, Piscataway, NJ 08854 USA RutgersState Univ Piscataway NJ USA 08854 ay, NJ 08854 USA
Citazione:
P. Spasojevic et al., "Nonlinear group-blind multiuser detection", IEEE COMMUN, 49(9), 2001, pp. 1631-1641

Abstract

A nonlinear group-blind technique is developed for joint detection of the some given users' data in a CDMA uplink environment with the presence of unknown interference. This method performs the so-called "slowest-descent search" over a likelihood function of the desired users, starting from the estimate closest to the unconstrained maximizer of the likelihood function, and along mutually orthogonal directions where this likelihood function dropsthe slowest. Simulation results show that this new nonlinear technique offers substantial performance improvement over the recently proposed linear group-blind multiuser detectors with little attendant increase in computational complexity. The problem of group-blind multiuser detection in the presence of both unknown interference and impulsive ambient noise is also treated under the framework of slowest-descent search, with the aid of a novel subspace-based robust interference cancellation scheme. It is seen that this robust group-blind method significantly outperforms the robust blind multiuser detection scheme proposed recently.

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Documento generato il 03/04/20 alle ore 10:56:54