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MIMO decision feedback equalization from an H∞ perspective

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
Related URLs:
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https://doi.org/10.1109/TSP.2003.822289DOIUNSPECIFIED
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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