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Blind channel identification based on second-order statistics: a frequency-domain approach

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4 Author(s)
Lang Tong ; Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA ; Guanghan Xu ; Hassibi, B. ; Kailath, T.

In this communication, necessary and sufficient conditions are presented for the unique blind identification of possibly nonminimum phase channels driven by cyclostationary processes. Using a frequency domain formulation, it is first shown that a channel can be identified by the second-order statistics of the observation if and only if the channel transfer function does not have special uniformly spaced zeros. This condition leads to several necessary and sufficient conditions on the observation spectra and the channel impulse response. Based on the frequency-domain formulation, a new identification algorithm is proposed

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Information Theory, IEEE Transactions on  (Volume:41 ,  Issue: 1 )