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Linear prediction error method for blind identification of time-varying channels: theoretical results

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1 Author(s)
J. K. Tugnait ; Dept. of Electr. & Comput. Eng., Auburn Univ., AL, USA

Blind channel estimation for SIMO time-varying channels is considered using only the second-order statistics of the data. The time-varying channel is assumed to be described by a complex exponential basis expansion model (CE-BEM). The linear prediction error method for blind identification of time-invariant channels is extended to time-varying channels represented by a CE-BEM. Sufficient conditions for identifiability are investigated. The cyclostationary nature of the received signal is exploited to estimate consistently the time-varying correlation function of the data from a single observation record. The focus of the paper is on certain theoretical issues

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Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:4 )

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