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KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
2014 (English)Conference paper (Refereed)
Abstract [en]

We consider optimized design of training sequences, given knowledge of the channel and noise statistics. Recently, pilot designs considering the end performance of the channel estimate, have been proposed, both optimizing the average performance and the performance at a certain outage level. Unfortunately, these problems, as well as previously proposed designs optimizing the channel estimation MSE, are non-convex for arbitrary channel and noise correlations so additional assumptions have been introduced in the literature to be able to find tractable solutions. Here, we show that arbitrarily correlated scenarios can easily be handled by resorting to alternating optimization, for all the previously mentioned problem formulations. Furthermore, we numerically compare the average and outage performance of the proposed algorithms, to alternative solutions adopted from the literature.

Place, publisher, year, edition, pages
2014. 5715-5719 p.
, International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-158335DOI: 10.1109/ICASSP.2014.6854698ISI: 000343655305150ScopusID: 2-s2.0-84905269209OAI: diva2:783091
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), MAY 04-09, 2014, Florence, ITALY

QC 20150123

Available from: 2015-01-23 Created: 2015-01-07 Last updated: 2015-01-23Bibliographically approved

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Bengtsson, Mats
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Signal ProcessingACCESS Linnaeus Centre
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