New non-linear decision feedback equalizers based on the functional-link neural network

Amir Hussain; J. J. Soraghan; T. S. Durrani

New non-linear decision feedback equalizers based on the functional-link neural network

Amir Hussain^*
, J. J. Soraghan
, T. S. Durrani

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper presents a new approach for the Decision Feedback Equalizer using the Functional Link Network (DFFLE) for channel equalization in digital communication systems. Results show that the new non-linear DFFLE structures offer superior performance to the Multi-Layered Perceptron (MLP) based DFE and the conventional DFE-LMS which are two widely used Decision Feedback Equalizers. The performance has been evaluated in terms of the equalizers' speed of convergence and Bit Error Rates.

Original language	English
Pages (from-to)	8/1-8/6
Journal	IEE Colloquium (Digest)
Issue number	125
State	Published - 1 Jan 1994
Externally published	Yes

ASJC Scopus subject areas

General Engineering
Electrical and Electronic Engineering

Cite this

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title = "New non-linear decision feedback equalizers based on the functional-link neural network",

abstract = "This paper presents a new approach for the Decision Feedback Equalizer using the Functional Link Network (DFFLE) for channel equalization in digital communication systems. Results show that the new non-linear DFFLE structures offer superior performance to the Multi-Layered Perceptron (MLP) based DFE and the conventional DFE-LMS which are two widely used Decision Feedback Equalizers. The performance has been evaluated in terms of the equalizers' speed of convergence and Bit Error Rates.",

author = "Amir Hussain and Soraghan, \{J. J.\} and Durrani, \{T. S.\}",

year = "1994",

month = jan,

day = "1",

language = "English",

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journal = "IEE Colloquium (Digest)",

issn = "0963-3308",

publisher = "Institute of Electrical Engineers",

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T1 - New non-linear decision feedback equalizers based on the functional-link neural network

AU - Hussain, Amir

AU - Soraghan, J. J.

AU - Durrani, T. S.

PY - 1994/1/1

Y1 - 1994/1/1

N2 - This paper presents a new approach for the Decision Feedback Equalizer using the Functional Link Network (DFFLE) for channel equalization in digital communication systems. Results show that the new non-linear DFFLE structures offer superior performance to the Multi-Layered Perceptron (MLP) based DFE and the conventional DFE-LMS which are two widely used Decision Feedback Equalizers. The performance has been evaluated in terms of the equalizers' speed of convergence and Bit Error Rates.

AB - This paper presents a new approach for the Decision Feedback Equalizer using the Functional Link Network (DFFLE) for channel equalization in digital communication systems. Results show that the new non-linear DFFLE structures offer superior performance to the Multi-Layered Perceptron (MLP) based DFE and the conventional DFE-LMS which are two widely used Decision Feedback Equalizers. The performance has been evaluated in terms of the equalizers' speed of convergence and Bit Error Rates.

UR - https://www.scopus.com/pages/publications/0028423343

M3 - Conference article

AN - SCOPUS:0028423343

SN - 0963-3308

SP - 8/1-8/6

JO - IEE Colloquium (Digest)

JF - IEE Colloquium (Digest)

IS - 125

ER -

New non-linear decision feedback equalizers based on the functional-link neural network

Abstract

ASJC Scopus subject areas

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