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This paper presents an FFT/IFFT based blind identification method for estimating the finite impulse response of single-input multiple-output channels driven by an unknown deterministic signal. The proposed algorithm successfully handles a very small size of received data, for which the existing blind channel estimation methods, including the subspace, cross-relation and shifted correlation algorithms, are known to be ineffective. Moreover, with no assumption of the precise knowledge of channel order, the proposed algorithm is capable of estimating channel parameters as well as detecting channel order. Simulations show that the proposed algorithm outper forms the existing methods in small sample size situations.
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 G. B. Giannakis, Y. Hua, P. Stoica and L. Tong, editors. Signal Processing Advances in Wireless and Mobile Communications. Vol. 1: Trends in Channel Estimation and Equalization. Prentice Hall PTR, 2001.
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