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Title: Semiblind BLUE channel estimation with applications to digital television
Authors: Pladdy, Christopher
Özen, Serdar
Nerayanuru, Sreenivasa M.
Zoltowski, Michael
Fimoff, Mark
Keywords: Communication channels
Banach fixed-point theorem
Fixed point iterations
Gauss-Markoff theorem
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Pladdy, C., Özen, S., Nerayanuru, S. M., Zoltowski, M., and Fimoff, M. (2006). Semiblind BLUE channel estimation with applications to digital television. IEEE Transactions on Vehicular Technology, 55(6), 1812-1823. doi:10.1109/TVT.2006.878553
Abstract: A semiblind iterative algorithm to construct the best linear unbiased estimate (BLUE) of the channel impulse response (CIR) vector h for communication systems that utilize a periodically transmitted training sequence within a continuous stream of information symbols is devised. The BLUE CIR estimate for the general linear model y = Ah + w, where w is the correlated noise, is given by the Gauss-Markoff theorem. The covariance matrix of the correlated noise, which is denoted by C(h), is a function of the channel that is to be identified. Consequently, an iteration is used to give successive approximations h(k), k = 0, 1, 2, hBLUE, where h(0) is an initial approximation given by the correlation processing, which exists at the receiver for the purpose of frame synchronization. A function F(h) for which hBLUE is a fixed point is defined. Conditions under which hBLUE is the unique fixed point and for which the iteration proposed in the algorithm converges to the unique fixed point hBLUE are given. The proofs of these results follow broadly along the lines of Banach fixed-point theorems.
ISSN: 0018-9545
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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