Erdogan, Alper Tunga and Hassibi, Babak and Kailath, Thomas (2004) MIMO decision feedback equalization from an H∞ perspective. IEEE Transactions on Signal Processing, 52 (3). pp. 734-745. ISSN 1053-587X. doi:10.1109/TSP.2003.822289. https://resolver.caltech.edu/CaltechAUTHORS:ERDieeetsp04
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Abstract
We approach the multiple input multiple output (MIMO) decision feedback equalization (DFE) problem in digital communications from an H∞ estimation point of view. Using the standard (and simplifying) assumption that all previous decisions are correct, we obtain an explicit parameterization of all H∞ optimal DFEs. In particular, we show that, under the above assumption, minimum mean square error (MMSE) DFEs are H∞ optimal. The H∞ approach also suggests a method for dealing with errors in previous decisions.
Item Type: | Article | ||||||
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Additional Information: | © 2004 IEEE. Reprinted with permission. Manuscript received February 20, 2002; revised March 31, 2003. [Posted online: 2004-02-26] The associate editor coordinating the review of this paper and approving it for publication was Dr. Alex C. Kot. | ||||||
Subject Keywords: | Decision feedback equalization, H∞ estimation, risk-sensitive estimation | ||||||
Issue or Number: | 3 | ||||||
DOI: | 10.1109/TSP.2003.822289 | ||||||
Record Number: | CaltechAUTHORS:ERDieeetsp04 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:ERDieeetsp04 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 6636 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Archive Administrator | ||||||
Deposited On: | 16 Dec 2006 | ||||||
Last Modified: | 08 Nov 2021 20:35 |
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