DocumentCode :
324026
Title :
Multiuser detection based on a deterministic error specification: theory and low-complexity adaptive solutions
Author :
Nagaraj, Shirish ; Gollamudi, Sridhar ; Kapoor, Samir ; Huang, Yih-Fang ; Deller, J.R., Jr.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Volume :
1
fYear :
1997
fDate :
2-5 Nov. 1997
Firstpage :
801
Abstract :
This paper proposes a new strategy for multiuser detection in DS/CDMA systems. The detectors are designed to meet a deterministic worst-case error performance measure. Formulations with and without the use of training signals are considered and a solution for each is presented. Further, they are shown to be near-far resistant. An advantage in posing the multiuser detection problem this way is that computationally efficient adaptive algorithms can be derived for both the blind and non-blind cases, whose performance is very comparable to that of traditional RLS-like algorithms. It is also shown that sharing of detectors across users is possible, leading to significant reduction in hardware requirements.
Keywords :
adaptive signal detection; convergence of numerical methods; error statistics; pseudonoise codes; spread spectrum communication; DS/CDMA systems; RLS-like algorithms; computationally efficient adaptive algorithms; convergence; detectors sharing; deterministic error specification; deterministic worst-case error performance measure; hardware requirements reduction; linear multiuser detection; low-complexity adaptive solutions; training signals; Adaptive algorithm; Computational complexity; Decorrelation; Detectors; Mathematics; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Multiuser detection; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-8186-8316-3
Type :
conf
DOI :
10.1109/ACSSC.1997.680554
Filename :
680554
Link To Document :
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