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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 420-424
G.B. Giannakis , Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Blind fractionally spaced equalizers rely on output only samples taken at a rate higher than the symbol rate in order to estimate the channel taps. Simple methods for mixed phase FIR channel identification are developed by solving a linear system of equations formed by sample cyclic correlations of the received oversampled data sequence. In addition to computational simplicity over existing multivariate alternatives, the resulting linear algorithm is easily modified to yield asymptotically minimum variance weighted least squares channel estimators. A "deterministic" approach is also developed which requires only persistently exciting inputs and leads to closed form data based solutions. Comparisons and tools for performance analysis are also described.<>
telecommunication channels, transient response, transient analysis, correlation methods, linear algebra, signal sampling, equalisers, least squares approximations, eigenvalues and eigenfunctions, phase estimation

G. Giannakis, "Linear cyclic correlation approaches for blind identification of FIR channels," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 420-424.
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