Please use this identifier to cite or link to this item: https://doi.org/10.1109/TVT.2007.904542
Title: Resolving multidimensional ambiguity in blind channel estimation of MIMO-FIR systems via block precoding
Authors: Gao, F.
Nallanathan, A. 
Keywords: Ambiguity
Blind channel estimation
Block transmissions
Multiinput multioutput (MIMO)
Precoding
Subspace (SS) method
Issue Date: Jan-2008
Source: Gao, F., Nallanathan, A. (2008-01). Resolving multidimensional ambiguity in blind channel estimation of MIMO-FIR systems via block precoding. IEEE Transactions on Vehicular Technology 57 (1) : 11-21. ScholarBank@NUS Repository. https://doi.org/10.1109/TVT.2007.904542
Abstract: In this paper, we consider the identification problem of multiinput-multioutput (MIMO) finite-impulse-response systems via second-order statistics only. By assigning different block precoders to different transmitters, we develop a new technique that allows blind MIMO channel identification up to a scalar ambiguity for each transmitter. We provide sufficient conditions for removal of the matrix ambiguity for a specific set of precoding matrices and derive a general theorem for other kinds of precoding matrices based on a reasonable conjecture. This theorem is firmly tested via numerical examples. Two potential precoding schemes are proposed, considering different ways of eliminating interblock interference. Finally, numerical results are provided to verify our analysis. © 2008 IEEE.
Source Title: IEEE Transactions on Vehicular Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/57258
ISSN: 00189545
DOI: 10.1109/TVT.2007.904542
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