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Blind MIMO FIR Channel Identification by Exploiting Channel Order Disparity

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3 Author(s)
Jun Fang ; Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore ; Leyman, A.R. ; Yong Huat Chew

In this paper, we consider the problem of blind multiple-input multiple-output (MIMO) finite impulse response (FIR) channel identification driven by spatially uncorrelated and temporally white input signals. A method that can entirely identify the MIMO channel based only on the second-order statistics (SOS) of the observed data is proposed. The complete identification of the convolutive mixture is accomplished by exploiting the diversity of the channel orders. The uniqueness of the proposed solution is proved. Numerical simulation results are presented to illustrate the performance of the proposed algorithm

Published in:
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:4 )

Date of Conference: 14-19 May 2006

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