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Constrained Detection for Spatial-Multiplexing Multiple-Input–Multiple-Output Systems (2008)

Abstract
A family of detectors that exploit signal constraints is developed for maximum-likelihood detection for multiple-input–multiple-output (MIMO) systems. Real constrained detectors and decision-feedback detectors are proposed for real constellations by forcing the relaxed solution to be real. A generalized minimum mean square error (GMMSE) and constrained least squares MIMO detectors are also developed for unitary and nonunitary signal constellations. Using these constrained detectors, we propose a new ordering scheme to achieve a tradeoff between interference suppression and noise enhancement. Moreover, to mitigate the inherent error propagation, the decision-feedback MIMO detectors are integrated with signal constraints. The simulation results show that our combined detector achieves a significant performance gain over vertical Bell Laboratories layered space-time (V-BLAST) detection.

Publication details
Download http://authors.library.caltech.edu/10761/1/CUIieeetvt08.pdf
http://resolver.caltech.edu/CaltechAUTHORS:CUIieeetvt08
Repository Caltech Authors (United States)
Keywords Caltech Library Services
Type Article, PeerReviewed
Relation http://resolver.caltech.edu/CaltechAUTHORS:CUIieeetvt08
http://authors.library.caltech.edu/10761/