A robust MISO training sequence design
2013 (English)In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New York: IEEE , 2013, 4564-4568 p.Conference paper (Refereed)
In this paper, the problem of robust training sequence design for multiple-input single-output (MISO) channel estimation is investigated. The mean-squared error (MSE) of the channel estimates is considered as a performance criterion to design an optimized training sequence which is a function of channel covariance matrix. In practice, the channel covariance matrix is not perfectly known at the transmitter side. Our goal is to take such imperfection into account and propose a robust design following the worst-case philosophy which results in finding the optimal training sequences for the least favorable channel covariance matrix within a deterministic uncertainty set. In this work, we address the formulated minimax design problem under different assumptions of the uncertainty set, and we show that for a unitarily-invariant uncertainty set, the optimally robust training sequence shares its eigenvectors with the channel covariance matrix. Furthermore, we give analytical closed-form solutions for robust training sequences if the spectral norm or nuclear norm are considered as constraints to bound the existing uncertainty.
Place, publisher, year, edition, pages
New York: IEEE , 2013. 4564-4568 p.
, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ISSN 1520-6149
Robust training sequences, worst-case robustness, unitarily-invariant uncertainty set, imperfect covariance, MIMO channel estimation
Signal Processing Telecommunications
IdentifiersURN: urn:nbn:se:kth:diva-133207DOI: 10.1109/ICASSP.2013.6638524ISI: 000329611504145ScopusID: 2-s2.0-84890505448ISBN: 978-147990356-6OAI: oai:DiVA.org:kth-133207DiVA: diva2:659929
2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013; Vancouver, BC; Canada; 26 May 2013 through 31 May 2013
QC 201402252013-10-282013-10-282014-02-25Bibliographically approved