DocumentCode :
1246468
Title :
A new choice of penalty function for robust multiuser detection based on M-estimation
Author :
Seyfe, Babak ; Valaee, Shahrokh
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume :
53
Issue :
2
fYear :
2005
Firstpage :
224
Lastpage :
227
Abstract :
In this letter, we propose a new robust MUD, called α detector, for non-Gaussian noise. We consider the Gaussian-mixture model for non-Gaussian or impulsive noise. Our technique outperforms the decorrelator and the minimax detectors in highly impulsive noise. The proposed method uses a parametric cost function, where the parameter α is selected using the difference between the asymptotic variance of estimation error of the α detector and that of the minimax detector.
Keywords :
Gaussian processes; impulse noise; minimax techniques; multiuser detection; Gaussian-mixture model; M-estimation; impulsive noise; minimax detector; multiuser detection; nonGaussian noise; parametric cost function; penalty function; Bit error rate; Decorrelation; Detectors; Gaussian noise; Maximum likelihood estimation; Minimax techniques; Multiaccess communication; Multiuser detection; Noise robustness; Signal processing; Impulsive noise; minimax detector; robust multiuser detection;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2004.842001
Filename :
1402642
Link To Document :
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