Beta
ManageSearchChatDiscover
33694

AUTOMATIC CLASSIFICATION OF QUADRATURE AMPLITUDE MODULATED (QAM) SIGNALS IN PRESENCE OF CHANNEL IMPAIRMENTS

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

-

Abstract

Abstract
In this paper, a procedure for automatic classification among three types of QAM signals in
presence of channel impairments is proposed. A combination of digital signal processing and
pattern recognition methods is used for solving the classification problem. The proposed
algorithm has been tested by computer simulations and has proven to be reliable and robust
against the expected channel impairments such as noise and fading. It is found that all digital
modulation types of interest have been correctly classified with a success rate > 91 % at
signal-to-noise ratio (SNR) of 14 dB.

DOI

10.21608/iceeng.2006.33694

Keywords

signal processing, Modulation Recognition, and Automatic Signal Classification

Authors

First Name

Tarek

Last Name

Helaly

MiddleName

-

Affiliation

Associate Lecturer, Electronic Warfare Eng. Department, MTC, Cairo, Egypt.

Email

-

City

-

Orcid

-

First Name

Khairy

Last Name

Elbarbary

MiddleName

-

Affiliation

Associate Professor, Electronic Warfare Eng. Department, MTC, Cairo, Egypt.

Email

-

City

-

Orcid

-

Volume

5

Article Issue

5th International Conference on Electrical Engineering ICEENG 2006

Related Issue

5615

Issue Date

2006-05-01

Receive Date

2019-05-29

Publish Date

2006-05-01

Page Start

1

Page End

11

Print ISSN

2636-4433

Online ISSN

2636-4441

Article File

ICEENG_Volume 5_Issue 5th International Conference on Electrical Engineering ICEENG 2006_Pages 1-11.pdf

PDF . 175.7kB

Link

https://iceeng.journals.ekb.eg/article_33694.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=33694

Order

87

Type

Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023