An adaptive blind equalization algorithm for QAM and QPR modulations: The concentric ordered modulus algorithm, with results for 16 QAM and 9 QPR

Author

De Victoria, Fernando López

Author_Institution

Applied Signal Technology Inc., Sunnyvale, CA, USA

fYear

1991

fDate

4-6 Nov 1991

Firstpage

726

Abstract

The concentric ordered modulus algorithm (COMA) represents an approach to the blind equalization of QAM (quadrature amplitude modulation) and QPR signals. COMA´s error is generated as a weighted minimum difference between a signal sample and a series of radii placed at the constellation points. COMA exhibits desired properties from the constant modulus algorithm and decision directed algorithm, such as an invariance to carrier modulation, probability distribution of constellation points, and correlation between symbols. COMA´s nonlinear error generation precludes the use of classical closed-form analysis to insure an optimal weighting function design. Nevertheless, a simplified weighting function design algorithm is presented, which can be extended to high-order modulations

Keywords

amplitude modulation; equalisers; signal processing; 16 QAM; 9 QPR; COMA; adaptive blind equalization algorithm; carrier modulation; closed-form analysis; concentric ordered modulus algorithm; constellation points; nonlinear error generation; optimal weighting function design; probability distribution; quadrature amplitude modulation; signal sample; symbols correlation; weighted minimum difference; Adaptive equalizers; Blind equalizers; Constellation diagram; Convergence; Differential equations; Error correction; Nearest neighbor searches; Quadrature amplitude modulation; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-2470-1

Type

conf

DOI

10.1109/ACSSC.1991.186543

Filename

186543