Least-squares CMA with decorrelation for fast blind multiuser signal separation

Author

Cavalcanti, F.R.P. ; Romano, J.M.T. ; Brandão, A.L.

Author_Institution

Dept. of Commun., Campinas State Univ., Brazil

Volume

5

fYear

1999

fDate

1999

Firstpage

2527

Abstract

A blind algorithm with implicit signal selectivity capability is proposed. The algorithm is an evolution of the original multiuser constant modulus algorithm of Papadias and Paulraj (see IEEE Sig. Proc. Letters, vol.4, no.6, p.178-81, 1997). The new algorithm features a least-squares type updating rule for fast convergence rate and an adaptive control of the weight of the decorrelation term which improves the steady-state error variance. The expected improvements of the proposed algorithm are verified through simulations with smart antennas in a spatial-division multiple access system

Keywords

adaptive control; array signal processing; convergence of numerical methods; decorrelation; least squares approximations; linear antenna arrays; space division multiple access; AWGN; SDMA; adaptive control; blind algorithm; constant modulus algorithm; decorrelation; fast blind multiuser signal separation; fast convergence rate; least-squares CMA; least-squares type updating rule; signal selectivity; simulations; smart antennas; spatial-division multiple access system; steady-state error variance; uniform linear antenna array; Adaptive control; Convergence; Cost function; Decorrelation; Error correction; Linear antenna arrays; Multiaccess communication; Source separation; Steady-state; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.760645

Filename

760645