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Statistically robust design of linear MIMO transceivers
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Electrical Engineering, Princeton University, Princeton.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2008 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 56, no 8, 3678-3689 p.Article in journal (Refereed) Published
Abstract [en]

The treatment of channel state information (CSI) is critical in the design of MIMO systems. Accurate CSI at the transmitter is often not possible or may require high feedback rates. Herein, we consider the robust design of linear MIMO transceivers with perfect CSI either at the transmitter or at both sides of the link. The framework considers the design problem where the imperfect CSI consists of the channel mean and covariance matrix or, equivalently, the channel estimate and the estimation error covariance matrix. The robust transceiver design is based on a general cost function of the average MSEs as well as a design with individual MSE based constraints. In particular, a lower bound of the average MSE matrix is explored for the design when only the CSI at the transmitter is imperfect. Under different CSI conditions, the proposed robust transceivers exhibit a similar structure to the transceiver designs for perfect CSI, but with a different equivalent channel and/or noise covariance matrix.

Place, publisher, year, edition, pages
IEEE , 2008. Vol. 56, no 8, 3678-3689 p.
Keyword [en]
Array signal processing, beamforming, joint transmit-receive, equalization, linear precoding, multiple-input-multiple-output (MIMO), channels, robustness, time coded systems, convex-optimization, channels, distributions, precoders
National Category
Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-17735DOI: 10.1109/tsp.2008.919384ISI: 000258032800024Scopus ID: 2-s2.0-48849098189OAI: oai:DiVA.org:kth-17735DiVA: diva2:335780
Note
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2017-12-12Bibliographically approved

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Ottersten, Björn

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