On the computational aspect of robust multiuser detection

Author

Pham, Duc Son ; Leung, Yee Hong ; Zoubir, Abdelhak ; Brcic, Ramon

Author_Institution

Commun. & Signal Process. Group, Curtin Univ. of Technol., WA, Australia

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

22

Lastpage

25

Abstract

We address the problem of multiuser signal detection in the presence of additive non-Gaussian noise, particularly the numerical procedure for solving m-equations. When the noise is modelled by the e-contaminated mixture, we show that an iteratively reweighted least squares (IRLS) technique can be readily used which offers a faster convergence than the conventional gradient approach. An alternative version of the IRLS algorithm which sacrifices optimality for computational efficiency is also introduced.

Keywords

AWGN; code division multiple access; computational complexity; convergence of numerical methods; iterative methods; least squares approximations; multiuser detection; additive nonGaussian noise; computational complexity; convergence; e-contaminated mixture; iteratively reweighted least squares technique; multiuser signal detection; Additive noise; Convergence; Detectors; Iterative algorithms; Least squares methods; Multiaccess communication; Multiuser detection; Noise robustness; Signal detection; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on

Print_ISBN

0-7803-8292-7

Type

conf

DOI

10.1109/ISSPIT.2003.1341050

Filename

1341050