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https://hdl.handle.net/11147/2428
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DC Field | Value | Language |
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dc.contributor.author | Pladdy, Christopher | - |
dc.contributor.author | Özen, Serdar | - |
dc.contributor.author | Nerayanuru, Sreenivasa M. | - |
dc.contributor.author | Ding, Peilu | - |
dc.contributor.author | Fimoff, Mark J. | - |
dc.contributor.author | Zoltowski, Michael | - |
dc.date.accessioned | 2016-11-11T09:54:01Z | |
dc.date.available | 2016-11-11T09:54:01Z | |
dc.date.issued | 2008-01 | |
dc.identifier.citation | Pladdy, 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:10.1080/17415970701743350 | en_US |
dc.identifier.issn | 1741-5977 | |
dc.identifier.issn | 1741-5977 | - |
dc.identifier.uri | http://doi.org/10.1080/17415970701743350 | |
dc.identifier.uri | http://hdl.handle.net/11147/2428 | |
dc.description.abstract | We 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.iso | en | en_US |
dc.publisher | Taylor and Francis Ltd. | en_US |
dc.relation.ispartof | Inverse Problems in Science and Engineering | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Channel estimation | en_US |
dc.subject | Best linear unbiased estimation | en_US |
dc.subject | Gauss Markoff Theorem | en_US |
dc.subject | Taylor series approximation | en_US |
dc.subject | Linearization | en_US |
dc.title | Taylor series approximation of semi-blind BLUE channel estimates with applications to DTV | en_US |
dc.type | Article | en_US |
dc.institutionauthor | Özen, Serdar | - |
dc.department | İzmir Institute of Technology. Electrical and Electronics Engineering | en_US |
dc.identifier.volume | 16 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.startpage | 303 | en_US |
dc.identifier.endpage | 324 | en_US |
dc.identifier.wos | WOS:000255220100003 | en_US |
dc.identifier.scopus | 2-s2.0-42449132493 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1080/17415970701743350 | - |
dc.relation.doi | 10.1080/17415970701743350 | en_US |
dc.coverage.doi | 10.1080/17415970701743350 | en_US |
dc.identifier.wosquality | Q4 | - |
dc.identifier.scopusquality | N/A | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 03.05. 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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