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On Preamble-Based Channel Estimation in OFDM/OQAM Systems
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0003-0355-2663
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0002-9368-3079
Show others and affiliations
2011 (English)In: Proceedings of the 19th European Signal Processing Conference (EUSIPCO 2011) / [ed] Mestre, X; Hernando, J; Pardas, M, European Association for Signal and Image Processing, 2011, p. 1618-1622Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, the problem of preamble-based channel estimation in OFDM offset QAM (OFDM/OQAM) systems under a deterministic channel assumption is studied. Recent results indicate that full (all tones carrying pilot symbols) preambles with equal pilot symbols are locally optimal, in the sense that they yield a local minimum of the mean square error (MSE) performance metric of the estimated channel frequency response (CFR), subject to a total training energy constraint. We study the problem of finding the globally optimal full preamble. We show that under a channel constancy assumption, the global optimum coincides with the full preamble of equal symbols. The same result holds even if the channel constancy assumption is removed. Numerical simulations are presented to support the derived results.

Place, publisher, year, edition, pages
European Association for Signal and Image Processing, 2011. p. 1618-1622
Series
European Signal Processing Conference, ISSN 2076-1465
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-72590ISI: 000377963100328OAI: oai:DiVA.org:kth-72590DiVA, id: diva2:488343
Conference
19th European Signal Processing Conference (EUSIPCO 2011),Barcelona, SPAIN, AUG 29-SEP 02, 2011
Note

QC 20120209

Available from: 2012-02-01 Created: 2012-01-31 Last updated: 2020-02-20Bibliographically approved

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Other links

http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569427859.pdf

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Bengtsson, MatsRojas, Cristian R.Hjalmarsson, Håkan

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