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Constrained Detection for Spatial-Multiplexing Multiple-Input–Multiple-Output Systems

Cui, Tao and Tellambura, Chintha and Wu, Yue (2008) Constrained Detection for Spatial-Multiplexing Multiple-Input–Multiple-Output Systems. IEEE Transactions on Vehicular Technology, 57 (3). pp. 1537-1547. ISSN 0018-9545. https://resolver.caltech.edu/CaltechAUTHORS:CUIieeetvt08

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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.


Item Type:Article
Additional Information:© Copyright 2008 IEEE. Reprinted with permission. Manuscript received June 29, 2006; revised October 18, 2006, June 21, 2007, and July 30, 2007. [Date Published in Issue: 2008-05-16] This work was supported in part by the Natural Sciences and Engineering Research Council of Canada, the Informatics Circle of Research Excellence, and the Alberta Ingenuity Fund. This paper was presented in part at the IEEE Global Telecommunications Conference, November 2005, St. Louis, MO, USA. The review of this paper was coordinated by Prof. L. Lampe. The authors would like to thank the anonymous reviewers for their critical comments, which greatly improved this paper, particularly two of these anonymous reviewers for the comments on the global minimum of (12) and the analytical partial derivative given in (15), (16), and (22).
Subject Keywords:Decision-feedback detector (DFD), linear detector, maximum likelihood, multiple-input–multiple-output (MIMO)
Issue or Number:3
Record Number:CaltechAUTHORS:CUIieeetvt08
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:CUIieeetvt08
Alternative URL:http://dx.doi.org/10.1109/TVT.2007.907291
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:10761
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:06 Jun 2008
Last Modified:03 Oct 2019 00:12

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