On Robust Training Sequence Design for Correlated MIMO Channel Estimation
2012 (English)In: Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on, IEEE Computer Society, 2012, 504-507 p.Conference paper (Refereed)
The problem of robust training sequence design for the purpose of multiple-input multiple-output (MIMO) channel estimation is considered. In particular, we aim to minimize the worst-case mean squared error of the channel estimates which is formulated as a minimax optimization problem. This problem is addressed efficiently using an extended barrier method under the general assumption of an arbitrary compact convex uncertainty set. Moreover, assuming a Kronecker MIMO channel and a unitarily invariant uncertainty set, the robust design problem is diagonalized which significantly lowers the dimensionality of the optimization problem. We provide numerical examples to illustrate the performance of the proposed design.
Place, publisher, year, edition, pages
IEEE Computer Society, 2012. 504-507 p.
, Asilomar Conference on Signals, Systems and Computers. Conference Record, ISSN 1058-6393
Channel estimate, Mean squared error, MIMO channel estimation, Minimax optimization, Multiple-input multiple-output channels, Numerical example, Optimization problems
Signal Processing Telecommunications
IdentifiersURN: urn:nbn:se:kth:diva-116452DOI: 10.1109/ACSSC.2012.6489055ISI: 000320768400093ScopusID: 2-s2.0-84876228012ISBN: 978-1-4673-5051-8OAI: oai:DiVA.org:kth-116452DiVA: diva2:589631
46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012; Pacific Grove, CA; United States; 4 November 2012 through 7 November 2012
QC 201305222013-01-182013-01-182016-04-25Bibliographically approved