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

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 r...

Full description

Saved in:
Bibliographic Details
Main Authors: Cavalcanti, F.R.P., Romano, J.M.T., Brandao, A.L.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive control
Convergence
Cost function
Decorrelation
Error correction
Linear antenna arrays
Multiaccess communication
Source separation
Steady-state
Vectors
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1999.760645