Pilot design for MIMO channel estimation: An alternative to the Kronecker structure assumption
2013 (English)In: ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, IEEE conference proceedings, 2013, 5061-5064 p.Conference paper (Refereed)
This work seeks to design a pilot signal, under a power constraint, such that the channel can be estimated with minimum mean square error. The procedure we derive does not assume Kronecker structure on the underlying covariance matrices, and the pilot signal is obtained in three main steps. Firstly, we solve a relaxed convex version of the original minimization problem. Secondly, its solution is projected onto the feasible set. Thirdly we use the projected solution as starting point for an augmented Lagrangian method. Numerical experiments indicate that this procedure may produce pilot signals that are far better than those obtained under the Kronecker structure assumption.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 5061-5064 p.
, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ISSN 1520-6149
Augmented Lagrangian methods, Covariance matrices, MIMO channel estimation, Minimization problems, Minimum mean square errors, Numerical experiments, Pilot signals, Power constraints
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-140051DOI: 10.1109/ICASSP.2013.6638625ScopusID: 2-s2.0-84890493775ISBN: 9781479903566OAI: oai:DiVA.org:kth-140051DiVA: diva2:689368
2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, 26 May 2013 through 31 May 2013, Vancouver, BC
QC 201401202014-01-202014-01-162014-03-03Bibliographically approved