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Robust design of linear MIMO transceiver for low SNR
KTH, School of Electrical Engineering (EES), Signal Processing.
Dept. of Electrical Engineering, Princeton University Princeton, NJ 08544, USA.
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-2298-6774
2005 (English)In: 2005 39th Asilomar Conference on Signals, Systems and Computers, Vols 1 and 2, NEW YORK: IEEE , 2005, 398-402 p.Conference paper (Refereed)
Abstract [en]

In practical systems, the design of linear MIMO transceivers should be robust to partial or imperfect channel state information (CSI). This paper considers the case in which only the second-order statistics of the channel is known at the transmitter while the receiver has a perfect CSI. In such a case, it is possible to optimally design robust MIMO transceivers based on a general cost function covering several well known performance criteria. In particular, two families are considered in detail: Schur-convex and Schur-concave functions. Approximations are used in the low SNR regime to obtain simple optimization problems that can be readily solved. Numerical examples show substantial gains compared to other methods.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2005. 398-402 p.
Keyword [en]
Channel estimation, Channel state information, Cost function, Feedback, MIMO, Robustness, Sensor systems, Signal design, Transceivers, Transmitters
National Category
Telecommunications Signal Processing
URN: urn:nbn:se:kth:diva-34964DOI: 10.1109/ACSSC.2005.1599776ISI: 000238142000075ScopusID: 2-s2.0-33847666530OAI: diva2:427172
39th Asilomar Conference on Signals, Systems and Computers Pacific Grove, CA, OCT 30-NOV 02, 2005
QC 20110627Available from: 2011-06-27 Created: 2011-06-17 Last updated: 2012-01-23Bibliographically approved

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ReferencesLink to record
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