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34633

Implementation of digital modulation identification on signal processing platform for software defined radio

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Last updated: 24 Dec 2024

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Abstract

Abstract:
Software Defined Radio (SDR) has been used by many military and commercial
communication applications. The need to identify the digital modulation type of an
incoming radio signal is important in order to design an intelligent system that can be
used for different applications. This paper describes an approach to extract the transient
characteristics of the digital modulated signal using the wavelet transform technique,
allowing a simple identification process. A method for identify the modulated signal
scheme from the wavelet transform is described, and the performance of the identifier is
investigated through simulation for different signal to noise ratio (SNR) values, showed
that the system identification performance is improved more than 95% when SNR more
than 9dB for all the proposed modulated signal in the system.

DOI

10.21608/iceeng.2008.34633

Keywords

Adaptive detection, SDR and wavelet transform

Authors

First Name

Ahmed

Last Name

Bakhraiba

MiddleName

M.

Affiliation

Department of Communication and Computer system Engineering, Faculty of Engineering, University Putra Malaysia (UPM).

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First Name

Sabira

Last Name

Khatun

MiddleName

-

Affiliation

Department of Communication and Computer system Engineering, Faculty of Engineering, University Putra Malaysia (UPM).

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-

Orcid

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First Name

Nor

Last Name

Noordin

MiddleName

Kamaria

Affiliation

Department of Communication and Computer system Engineering, Faculty of Engineering, University Putra Malaysia (UPM).

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Orcid

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First Name

Alyani

Last Name

Ismail

MiddleName

-

Affiliation

Department of Communication and Computer system Engineering, Faculty of Engineering, University Putra Malaysia (UPM).

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City

-

Orcid

-

First Name

Borhanuddin

Last Name

Ali

MiddleName

Mohd

Affiliation

Department of Communication and Computer system Engineering, Faculty of Engineering, University Putra Malaysia (UPM).

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Volume

6

Article Issue

6th International Conference on Electrical Engineering ICEENG 2008

Related Issue

5700

Issue Date

2008-05-01

Receive Date

2019-06-13

Publish Date

2008-05-01

Page Start

1

Page End

12

Print ISSN

2636-4433

Online ISSN

2636-4441

Article File

ICEENG_Volume 6_Issue 6th International Conference on Electrical Engineering ICEā€¦.pdf

PDF . 252.6kB

Link

https://iceeng.journals.ekb.eg/article_34633.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=34633

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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

Implementation of digital modulation identification on signal processing platform for software defined radio

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Article

Created At

22 Jan 2023