NDLI: Enhancing the performance of the CR blind channel estimation algorithm using the Karhunen-Loève expansion

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Enhancing the performance of the CR blind channel estimation algorithm using the Karhunen-Loève expansion

Content Provider	IEEE Xplore Digital Library
Author	Orozco-Lugo, A. G. Parra-Michel, R. McLernon, D. C. Kontorovitch, V. Y.
Copyright Year	2002
Description	Author affiliation: Institute of Integrated Information Systems, School of Electronic and Electrical Engineering, University of Leeds, LS2 9JT, United Kingdom (McLernon, D. C.) \|\| Centro de Investigación y Estudios A vanzados del IPN, Depto. de Ingenieria Eléctrica, Sección de Comunicaciones, Av. IPN 2508, México, D.F., C.P. 07660, Mexico (Orozco-Lugo, A. G.; Parra-Michel, R.; Kontorovitch, V. Y.)
Abstract	This paper introduces a new formulation for the blind channel estimation problem. In particular, it is found that any possible realization of the discrete time channel impulse response can be expressed as a linear combination of a set of predetermined eigenvectors. These are obtained from a certain “universal” autocorrelation matrix that depends only on the pulse shaping filter and the maximum delay spread of the multi-path channel, and not on the specific characteristics of the power delay profile. This new formulation shows that an interrelation exists between the different sub-channel responses of the single-input multiple-output equivalent model of the over-sampled baseband signal. Thus, the number of free parameters equals the number of signal space eigenvectors and not the number of coefficients in the multi-channel model. Therefore the optimization associated with the CR algorithm [1] can be reformulated as a reduced dimensional minimization problem with a notoriously enhanced estimation performance.
File Size	580796
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.2002.5745193
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Minimization Delay
Content Type	Text
Resource Type	Article

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