The minimum-SER linear-combiner decision feedback equalizer
The minimum-SER linear-combiner decision feedback equalizer
The paper considers the conventional decision feedback equalizer (DFE) that employs a linear combination of the channel observations and the past decisions. An expression of the symbol error rate (SER) is derived for the linear-combiner DFE with the general $M$-PAM constellation by utilizing a geometric translation property of decision feedback. A method is developed to optimize the coefficients of the linear-combiner DFE to achieve the minimum-SER (MSER) solution. The performance of this MSER linear-combiner DFE is superior to the usual minimum mean square error (MMSE) solution.
347-353
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
December 1999
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Chen, S. and Mulgrew, B.
(1999)
The minimum-SER linear-combiner decision feedback equalizer.
IEE Proceedings Communications, 146 (6), .
Abstract
The paper considers the conventional decision feedback equalizer (DFE) that employs a linear combination of the channel observations and the past decisions. An expression of the symbol error rate (SER) is derived for the linear-combiner DFE with the general $M$-PAM constellation by utilizing a geometric translation property of decision feedback. A method is developed to optimize the coefficients of the linear-combiner DFE to achieve the minimum-SER (MSER) solution. The performance of this MSER linear-combiner DFE is superior to the usual minimum mean square error (MMSE) solution.
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Published date: December 1999
Organisations:
Southampton Wireless Group
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Local EPrints ID: 251072
URI: http://eprints.soton.ac.uk/id/eprint/251072
ISSN: 1350-2425
PURE UUID: b561c037-a6cc-4e03-abdd-cf3b675a93ef
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Date deposited: 29 Jan 2000
Last modified: 14 Mar 2024 05:08
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Author:
S. Chen
Author:
B. Mulgrew
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