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Blind Channel Equalization Using FourthOrder Cumulants
Soowhan HAN
Publication
IEICE TRANSACTIONS on Communications
Vol.E87B
No.10
pp.31163124 Publication Date: 2004/10/01 Online ISSN:
DOI: Print ISSN: 09168516 Type of Manuscript: LETTER Category: Wireless Communication Technologies Keyword: fourthorder cumulants, blind channel equalization, deconvolution matrix,
Full Text: PDF(362.3KB)>>
Summary:
In this study, a fourthorder cumulants based iterative algorithm for blind channel equalization is introduced, which is robust with respect to the existence of heavy Gaussian noise in a channel and does not require the minimum phase characteristic of the channel. The transmitted signals at the receiver are oversampled to ensure the channel described by a fullcolumn rank matrix. It changes a singleinput/singleoutput (SISO) finiteimpulse response (FIR) channel to a singleinput/multioutput (SIMO) channel. Based on the properties of the fourthorder cumulants of the oversampled channel inputs, the iterative algorithm is derived to estimate the deconvolution matrix which makes the overall transfer matrix transparent, i.e., it can be reduced to the identity matrix by simple reordering and scaling. In simulation studies, both a closedform and a stochastic version of the proposed algorithm are tested with threeray multipath channels, and their performances are compared with the methods based on conventional secondorder statistics and higherorder statistics (HOS) as well. Relatively good results with fast convergence speed are achieved, even when the transmitted symbols are significantly corrupted with Gaussian noise.


