Comparative survey of signal processing and artificial intelligence based channel equalization techniques and technologies

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

International Journal of Emerging Trends in Engineering Research

Volume

7

Issue

9

First Page

311

Last Page

322

Publication Date

9-1-2019

Abstract

This paper presents an inspection and review of wired and wireless channel equalization techniques and their existing hardware implementations in terms of features, similarities, and differences. The authors begin with the theory behind channel equalization followed by techniques, and the technological realizations for achieving the proper filter in response to variations of the channel. Included in both the techniques and realizations are the rebirth of the use of artificial intelligence as a self-learning filter for the weights to use by the filtering structure of channel equalizers. These equalizers were compared, contrasted, and their key differentiation was identified. It was found that gaps such as complexity and convergence time are potential areas for extending the performance and limits of existing channel equalizers. © 2019, World Academy of Research in Science and Engineering. All rights reserved.

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Digitial Object Identifier (DOI)

10.30534/ijeter/2019/14792019

Disciplines

Electrical and Electronics | Systems and Communications

Keywords

Equalizers (Electronics)

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