Title :
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
fDate :
4/1/2011 12:00:00 AM
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2011.2118202
