Tkacenko, Andre and Vaidyanathan, P. P. (2001) Generalized kurtosis and applications in blind equalization of MIMO channels. In: Conference Record of the Thirty-Fifth Asilomar Conference on Signals, Systems, and Computers. IEEE , Piscataway, NJ, pp. 742-746. ISBN 0-7803-7147-X. https://resolver.caltech.edu/CaltechAUTHORS:20111117-095759825
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Abstract
Recently, the problem of blind equalization of multiple-input multiple-output (MIMO) channels has received much attention from the communications and signal processing communities. Several methods proposed to solve this problem involve computing the kurtosis of the components of the observed output vector sequence. In this paper, we generalize the notion of kurtosis to vector sequences by proposing a definition for a kurtosis matrix of a random vector. It is shown that there are many analogies between our kurtosis matrix and the classical scalar kurtosis. We then use this matrix to develop a necessary condition for blind equalization of MIMO channels. Future work will include the development of a sufficient condition for equalization.
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| Additional Information: | © 2001 IEEE. Issue Date: 2001; Date of Current Version: 07 August 2002. Work supported in part by the ONR grant N00014-99-1-1002, USA | |||||||||
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| Record Number: | CaltechAUTHORS:20111117-095759825 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20111117-095759825 | |||||||||
| Official Citation: | Tkacenko, A.; Vaidyanathan, P.P.; , "Generalized kurtosis and applications in blind equalization of MIMO channels," Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on , vol.1, no., pp.742-746 vol.1, 2001 doi: 10.1109/ACSSC.2001.987023 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 27829 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Jason Perez | |||||||||
| Deposited On: | 17 Nov 2011 19:17 | |||||||||
| Last Modified: | 09 Mar 2020 13:19 |
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