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Title: Taylor series approximation of semi-blind BLUE channel estimates with applications to DTV
Authors: Pladdy, Christopher
Özen, Serdar
Nerayanuru, Sreenivasa M.
Ding, Peilu
Fimoff, Mark J.
Zoltowski, Michael
Keywords: Channel estimation
Best linear unbiased estimation
Gauss Markoff Theorem
Taylor series approximation
Publisher: Taylor and Francis Ltd.
Source: 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
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.
ISSN: 1741-5977
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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