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ALGORITHMIC SOLUTIONS FOR PILOT DESIGN OPTIMIZATION IN ARBITRARILY CORRELATED SCENARIOS
KTH, Skolan för elektro- och systemteknik (EES), Signalbehandling. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0002-3599-5584
2014 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2014. s. 5715-5719
Serie
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-158335DOI: 10.1109/ICASSP.2014.6854698ISI: 000343655305150Scopus ID: 2-s2.0-84905269209OAI: oai:DiVA.org:kth-158335DiVA, id: diva2:783091
Konferanse
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), MAY 04-09, 2014, Florence, ITALY
Merknad

QC 20150123

Tilgjengelig fra: 2015-01-23 Laget: 2015-01-07 Sist oppdatert: 2022-06-23bibliografisk kontrollert

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Totalt: 116 treff
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