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Decision feedback equalization using multiple-hyperplane partitioning for detecting ISI-corrupted M-ary PAM signals

Decision feedback equalization using multiple-hyperplane partitioning for detecting ISI-corrupted M-ary PAM signals
Decision feedback equalization using multiple-hyperplane partitioning for detecting ISI-corrupted M-ary PAM signals
A decision-feedback equalizer scheme is derived based on multiple-hyperplane partitioning of signal space for detecting M-ary pulse amplitude modulation symbols transmitted through a noisy intersymbol interference channel. The proposed scheme is based on the fact that the optimal Bayesian decision boundary separating two neighboring signal classes is asymptotically piecewise linear and consists of several hyperplanes, when the signal-to-noise ratio tends to infinity. An algorithm is developed to determine these hyperplanes, which are then used to partition the observation signal space. The resulting detector can closely approximate the optimal Bayesian detector, at an advantage of considerably reduced detector complexity.
0090-6778
760-764
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a

Chen, Sheng, Hanzo, Lajos and Mulgrew, B. (2001) Decision feedback equalization using multiple-hyperplane partitioning for detecting ISI-corrupted M-ary PAM signals. IEEE Transactions on Communications, 49 (5), 760-764. (doi:10.1109/26.923797).

Record type: Article

Abstract

A decision-feedback equalizer scheme is derived based on multiple-hyperplane partitioning of signal space for detecting M-ary pulse amplitude modulation symbols transmitted through a noisy intersymbol interference channel. The proposed scheme is based on the fact that the optimal Bayesian decision boundary separating two neighboring signal classes is asymptotically piecewise linear and consists of several hyperplanes, when the signal-to-noise ratio tends to infinity. An algorithm is developed to determine these hyperplanes, which are then used to partition the observation signal space. The resulting detector can closely approximate the optimal Bayesian detector, at an advantage of considerably reduced detector complexity.

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TCOM2001-49-5 - Accepted Manuscript
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Published date: 1 May 2001

Identifiers

Local EPrints ID: 453830
URI: http://eprints.soton.ac.uk/id/eprint/453830
ISSN: 0090-6778
PURE UUID: da38bc0d-633d-4a57-8682-d64c2cbee3a4
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 25 Jan 2022 17:30
Last modified: 26 Jan 2022 02:32

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Contributors

Author: Sheng Chen
Author: Lajos Hanzo ORCID iD
Author: B. Mulgrew

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