A Reweighted Least Squares Approach to QAM Detector for Blind Equalization

Author

Konishi, Katsumi ; Furukawa, Toshihiro

Author_Institution

Dept. of Comput. Sci., Kogakuin Univ., Tokyo, Japan

Volume

18

Issue

4

fYear

2011

fDate

4/1/2011 12:00:00 AM

Firstpage

259

Lastpage

262

Abstract

This letter proposes a reweighted least squares algorithm for quadrature amplitude modulation (QAM) detector in blind equalization. Because the QAM detection problem is a non-convex combinatorial optimization problem, it is relaxed into a problem of minimizing the sum of logarithmic functions in order to overcome the combinatorial complexity. To find a local optimal solution of the problem, an iterative reweighted least squares based algorithm is proposed. Simulation results show that the proposed algorithm improves the accuracy of QAM detection in blind equalization.

Keywords

blind equalisers; iterative methods; least squares approximations; optimisation; quadrature amplitude modulation; radio networks; blind equalization; combinatorial complexity; iterative reweighted least squares based algorithm; logarithmic functions; nonconvex combinatorial optimization problem; quadrature amplitude modulation detector; Blind equalizers; MIMO; Polynomials; Programming; Quadrature amplitude modulation; Signal processing algorithms; Blind equalization; iteratively reweighted least squares; maximum likelihood detection;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2011.2118202

Filename

5719156