Decision feedback equalization
Decision Feedback Equalization (DFE) is a form of non-linear symbol-by-symbol equalization in which past decisions are used to cancel post-cursor inter-symbol interference (ISI). The main cause of ISI is when the transmitted symbol duration is comparable to the channels’ delay spread. DFE is appe...
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sg-ntu-dr.10356-725382023-07-04T16:38:37Z Decision feedback equalization Rito, Brian Ysmael Dimaunahan Li Kwok Hung School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Decision Feedback Equalization (DFE) is a form of non-linear symbol-by-symbol equalization in which past decisions are used to cancel post-cursor inter-symbol interference (ISI). The main cause of ISI is when the transmitted symbol duration is comparable to the channels’ delay spread. DFE is appealing since it is easy to implement and does not enhance noise, as much as linear equalizers do. However, wrong decisions tend to give rise to more errors; this phenomenon is called error propagation. This report studies the basic principle and operations of DFE. It also briefly discusses error propagation and a few popular mitigation techniques such as constrained feedback method and erasure slicer method. Simulation results using MATLAB are included to aid and support discussions. It is seen that DFE performs better than the traditional linear equalizers, and error propagation can be effectively mitigated using the mentioned techniques. Master of Science (Communications Engineering) 2017-08-28T09:17:51Z 2017-08-28T09:17:51Z 2017 Thesis http://hdl.handle.net/10356/72538 en 57 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Rito, Brian Ysmael Dimaunahan Decision feedback equalization |
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Decision Feedback Equalization (DFE) is a form of non-linear symbol-by-symbol equalization in
which past decisions are used to cancel post-cursor inter-symbol interference (ISI). The main
cause of ISI is when the transmitted symbol duration is comparable to the channels’ delay spread.
DFE is appealing since it is easy to implement and does not enhance noise, as much as linear
equalizers do. However, wrong decisions tend to give rise to more errors; this phenomenon is
called error propagation.
This report studies the basic principle and operations of DFE. It also briefly discusses error
propagation and a few popular mitigation techniques such as constrained feedback method and
erasure slicer method. Simulation results using MATLAB are included to aid and support
discussions. It is seen that DFE performs better than the traditional linear equalizers, and error
propagation can be effectively mitigated using the mentioned techniques. |
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Li Kwok Hung |
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Li Kwok Hung Rito, Brian Ysmael Dimaunahan |
format |
Theses and Dissertations |
author |
Rito, Brian Ysmael Dimaunahan |
author_sort |
Rito, Brian Ysmael Dimaunahan |
title |
Decision feedback equalization |
title_short |
Decision feedback equalization |
title_full |
Decision feedback equalization |
title_fullStr |
Decision feedback equalization |
title_full_unstemmed |
Decision feedback equalization |
title_sort |
decision feedback equalization |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/72538 |
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1772827375814311936 |