On maximum-likelihood detection and the search for the closest lattice point

Maximum-likelihood (ML) decoding algorithms for Gaussian multiple-input multiple-output (MIMO) linear channels are considered. Linearity over the field of real numbers facilitates the design of ML decoders using number-theoretic tools for searching the closest lattice point. These decoders are colle...

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Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 49; no. 10; pp. 2389 - 2402
Main Authors:	Damen, M.O., El Gamal, H., Caire, G.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2003 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Amplitude modulation Communications networks Computational complexity Computational modeling Decoders Decoding Detectors Feedback Joints Lattices Linearity Maximum likelihood decoding Maximum likelihood detection MIMO Output Reduction Searching Strategy
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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