Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2428
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dc.contributor.authorPladdy, Christopher-
dc.contributor.authorÖzen, Serdar-
dc.contributor.authorNerayanuru, Sreenivasa M.-
dc.contributor.authorDing, Peilu-
dc.contributor.authorFimoff, Mark J.-
dc.contributor.authorZoltowski, Michael-
dc.date.accessioned2016-11-11T09:54:01Z
dc.date.available2016-11-11T09:54:01Z
dc.date.issued2008-01
dc.identifier.citationPladdy, C., Özen, S., Nerayanuru, S. M., Ding, P., Fimoff, M. J., and Zoltowski, M. (2008). Taylor series approximation of semi-blind BLUE channel estimates with applications to DTV. Inverse Problems in Science and Engineering, 16(3), 303-324. doi:10.1080/17415970701743350en_US
dc.identifier.issn1741-5977
dc.identifier.issn1741-5977-
dc.identifier.urihttp://doi.org/10.1080/17415970701743350
dc.identifier.urihttp://hdl.handle.net/11147/2428
dc.description.abstractWe present a low-complexity method for approximating the semi-blind best linear unbiased estimate (BLUE) of a channel impulse response (CIR) vector for a communication system, which utilizes a periodically transmitted training sequence. The BLUE, for h, for the general linear model, y = Ah + w + n, where w is correlated noise (dependent on the CIR, h) and the vector n is an Additive White Gaussian Noise (AWGN) process, which is uncorrelated with w is given by h = (ATC(h)-1A)-1ATC(h)-1y. In the present work, we propose a Taylor series approximation for the function F(h) = (ATC(h)-1A)-1ATC(h)-1y. We describe the full Taylor formula for this function and describe algorithms using, first-, second-, and third-order approximations, respectively. The algorithms give better performance than correlation channel estimates and previous approximations used, at only a slight increase in complexity. Our algorithm is derived and works within the framework imposed by the ATSC 8-VSB DTV transmission system, but will generalize to any communication system utilizing a training sequence embedded within data.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofInverse Problems in Science and Engineeringen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectChannel estimationen_US
dc.subjectBest linear unbiased estimationen_US
dc.subjectGauss Markoff Theoremen_US
dc.subjectTaylor series approximationen_US
dc.subjectLinearizationen_US
dc.titleTaylor series approximation of semi-blind BLUE channel estimates with applications to DTVen_US
dc.typeArticleen_US
dc.institutionauthorÖzen, Serdar-
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.volume16en_US
dc.identifier.issue3en_US
dc.identifier.startpage303en_US
dc.identifier.endpage324en_US
dc.identifier.wosWOS:000255220100003en_US
dc.identifier.scopus2-s2.0-42449132493en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1080/17415970701743350-
dc.relation.doi10.1080/17415970701743350en_US
dc.coverage.doi10.1080/17415970701743350en_US
dc.identifier.wosqualityQ4-
dc.identifier.scopusqualityQ2-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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