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

Abstract

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 sum of logarithmic functions. In order to find a local optimal solution of the problem, an iterative reweighted least squares (IRLS) based algorithm is proposed. The proposed algorithm is fast real-time applicable due to its low computational complexity. Numerical experiments in a random MIMO system show the effectiveness of the proposed algorithm.

DOI: 10.1109/ICASSP.2011.5947198

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@article{Konishi2011ARL, title={A reweighted least squares algorithm for detection of QAM signaling in MIMO channels}, author={Katsumi Konishi and Toshihiro Furukawa}, journal={2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year={2011}, pages={3876-3879} }