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Minimum-BER linear-combiner DFE

Minimum-BER linear-combiner DFE
Minimum-BER linear-combiner DFE
The paper derives a minimum bit error rate (BER) solution for the decision feedback equaliser (DFE) that employs a linear combination of the channel observations and the past decisions. We show that by using a geometric translation the DFE is reduced to a simpler linear equaliser. A BER expression for the linear equaliser is obtained under the assumption of linearly separable decision regions, and a method is proposed to optimally set the linear-combiner coefficients of the DFE. This minimum BER solution is superior to the usual minimum mean square error (MSE) solution.
1173-1177
IEEE
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Chng, E.S.
9b54c315-4e65-4fcd-94eb-3cce6dedfd6b
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Gibson, G.
f4897d59-a729-4a88-94c5-9588cfe803ed
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Chng, E.S.
9b54c315-4e65-4fcd-94eb-3cce6dedfd6b
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Gibson, G.
f4897d59-a729-4a88-94c5-9588cfe803ed

Chen, Sheng, Chng, E.S., Mulgrew, B. and Gibson, G. (1996) Minimum-BER linear-combiner DFE. In International Conference on Communications 1996. IEEE. pp. 1173-1177 . (doi:10.1109/ICC.1996.541394).

Record type: Conference or Workshop Item (Paper)

Abstract

The paper derives a minimum bit error rate (BER) solution for the decision feedback equaliser (DFE) that employs a linear combination of the channel observations and the past decisions. We show that by using a geometric translation the DFE is reduced to a simpler linear equaliser. A BER expression for the linear equaliser is obtained under the assumption of linearly separable decision regions, and a method is proposed to optimally set the linear-combiner coefficients of the DFE. This minimum BER solution is superior to the usual minimum mean square error (MSE) solution.

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c-1996-icc - Author's Original
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Published date: 23 June 1996
Venue - Dates: Proceedings of ICC/SUPERCOMM '96 : International Conference on Communications, , Dallas, United States, 1996-06-23 - 1996-06-27

Identifiers

Local EPrints ID: 473187
URI: http://eprints.soton.ac.uk/id/eprint/473187
PURE UUID: bd68a4cf-563c-4044-a06c-b24de821d29f

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Date deposited: 11 Jan 2023 17:57
Last modified: 16 Mar 2024 15:49

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Contributors

Author: Sheng Chen
Author: E.S. Chng
Author: B. Mulgrew
Author: G. Gibson

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