A stochastic gradient-based decorrelation algorithm with applications to multicarrier CDMA

Author

Haimovich, A. ; Bar-Ness, Y. ; Manzo, R.

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

Volume

1

fYear

1995

fDate

25-28 Jul 1995

Firstpage

464

Abstract

A stochastic gradient-based decorrelation algorithm is suggested for separation of an unknown linear mixture of signals. It is shown that while the decorrelation algorithm is similar in cost to the LMS algorithm, its rate of convergence is significantly faster, making it more attractive for signal separation. Analysis of the decorrelator algorithm shows that the faster speed of convergence is a consequence of the eigenvalue spread associated with the decorrelation problem, which is smaller than the spread associated with the corresponding mean square problem. Operation of the algorithm is illustrated as an adaptive multiuser detector in a multiple carrier CDMA system

Keywords

adaptive signal detection; approximation theory; code division multiple access; convergence of numerical methods; correlation methods; eigenvalues and eigenfunctions; stochastic processes; LMS algorithm; adaptive multiuser detector; convergence rate; eigenvalue spread; linear signals separation; mean square error; multiple carrier CDMA system; stochastic gradient based decorrelation algorithm; Algorithm design and analysis; Convergence; Costs; Decorrelation; Detectors; Eigenvalues and eigenfunctions; Least squares approximation; Multiaccess communication; Source separation; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 1995 IEEE 45th

Conference_Location

Chicago, IL

ISSN

1090-3038

Print_ISBN

0-7803-2742-X

Type

conf

DOI

10.1109/VETEC.1995.504910

Filename

504910