A reweighted least squares algorithm for detection of QAM signaling in MIMO channels

This paper proposes a reweighted least squares algorithm for quadrature amplitude modulation (QAM) detector in multiple-input multiple-output (MIMO) channels. Although the QAM detection problem is a non-convex combinatorial optimization problem, it is reformulated into a problem of minimizing the su...

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Bibliographic Details
Published in:	2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 3876 - 3879
Main Authors:	Konishi, Katsumi, Furukawa, Toshihiro
Format:	Conference Proceeding
Language:	English Japanese
Published:	IEEE 01.05.2011
Subjects:	Computational complexity Detectors iteratively reweighted least squares maximum likelihood detection MIMO MIMO systems Programming Quadrature amplitude modulation Signal processing algorithms Signal to noise ratio
ISBN:	9781457705380, 1457705389
ISSN:	1520-6149
Online Access:	Get full text
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