FFT/IFFT Based Blind SIMO Channel Identification

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Song Wang
Jonathan H. Manton

Abstract

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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How to Cite
Wang, S., & Manton, J. H. (2007). FFT/IFFT Based Blind SIMO Channel Identification. CTI ransactions on lectrical ngineering, lectronics, and ommunications, 6(2), 158-163. etrieved from https://ph02.tci-thaijo.org/index.php/ECTI-EEC/article/view/171784
Section
Research Article

References

[1] W. A. Gardner, editor. Cyclostationarity in Communications and Signal Processing. IEEE Press, 1994.

[2] 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.

[3] E. Moulines, P. Duhamel, J.F. Cardoso and S. Mayrargue, "Subspace methods for the blind identification of multichannel FIR filters," IEEE Trans. Signal Processing, vol. 43, no. 2, pp. 516-525, 1995.

[4] G. Xu, H. Liu, L. Tong and T. Kailath, "A least squares approach to blind channel identification," IEEE Trans. Signal Processing, vol. 43, no. 12, pp. 2982-2993, 1995.

[5] S. Chen and T. Yao, "An eigenanalysis-based method for blind channel identification and equalisation," European Trans. Telecommunications, vol. 16, pp. 349-355, 2005.

[6] H. Gazzah, P.A. Regalia, J-P. Delmas and K. Abed-Meraim, "A blind multichannel identification algorithm robust to order overestimation," IEEE Trans. Signal Processing, vol. 50, no. 6, pp. 1449-1458, 2002.

[7] L. Tong and S. Perreau, "Multichannel blind identification: from subspace to maximum likelihood methods," Proc. of IEEE, vol. 86, no. 10, pp. 1951-1968, 1998.

[8] C.-Y. Chi, C.-Y. Chen, C.-H.Chen, C.-C. Feng and C.-H. Peng, "Blind identification of SIMO systems and simultaneous estimation of multiple time delays from HOS-based inverse filter criteria," IEEE Trans. Signal Processing, vol. 52, no. 10, pp. 2749-2761, 2004.

[9] Y. Hua and M.Wax, "Strict identifiability of multiple FIR channels driven by an unknown arbitrary sequence," IEEE Trans. Signal Processing, vol. 44, no. 3, pp. 756-759, 1996.

[10] A. Scaglione, G.B. Giannakis and S. Barbarossa, "Redundant filterbanks precoders and equalizers, Part I & Part II," IEEE Trans. Signal Processing, vol. 47, no. 7, pp. 1988-2022, 1999.