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Embedded iron object detection using asynchronous full wave envelope detector technique in ground penetrating radar system

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 6 (2022)

DOI
10.11591/ijece.v12i6.pp6187-6195
ISSN
2722-2578, 2088-8708
Published
2022-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The use of a ground penetrating radar (GPR) system that operates at low frequencies allows the detection of embedded objects underground from the earth’s surface deeper than high frequency. However, the output signal generated from the system using pulse modulation (PM) technique and high-frequency carrier, has many high ripple signals consequently resulting in a blurry image. Nevertheless, this ripple signal can be minimized by reprocessing the signal using an envelope detector method. In this study, an envelope detection technique called ArJED © asynchronous full-wave (AFW) was used in the GPR system and was tested at a frequency range from 0.06 to 0.08 GHz. A dipole antenna has been used as an embedded object detection sensor of the GPR system. The detection system of embedded objects involves four depths starting with 2 cm depth, 5 cm, 7 cm, and 20 cm. A comparison of embedded object images before and after the application of the envelope detection technique was done and proved that the proposed envelope detection technique has produced a clearer radargram image of the GPR system.

Collaboration network of the authors

34 authors · 91 co-authorship links · 14 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Tun Hussein Onn University of Malaysia
  • Universiti Teknikal Malaysia Melaka
  • Al-Furat Al-Awsat Technical University
  • Cihan University - Duhok
  • Knowledge University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Rosli OmarTun Hussein Onn University of Malaysia5
Zahriladha ZakariaUniversiti Teknikal Malaysia Melaka4
Asmarashid PonniranTun Hussein Onn University of Malaysia4
Rahmat TalibTun Hussein Onn University of Malaysia2
Bhagwan DasTun Hussein Onn University of Malaysia2
Nor Shahida Mohd ShahTun Hussein Onn University of Malaysia2
M. Y. AlgumaeiUniversiti Teknikal Malaysia Melaka2
Abdullah Mohammed Saghir ZobilahUniversiti Teknikal Malaysia Melaka2
Badrul Hisham AhmadUniversiti Teknikal Malaysia Melaka2
Nurhasniza EdwardUniversiti Teknikal Malaysia Melaka1
Z. ZakariaUniversiti Teknikal Malaysia Melaka1
Muhamad Amin Hakim SazaliUniversiti Teknikal Malaysia Melaka1
N. Mohd RidzuanTun Hussein Onn University of Malaysia1
Maisara Binti OthmanTun Hussein Onn University of Malaysia1
M. B. JaafarTun Hussein Onn University of Malaysia1
Imran Mohd IbrahimUniversiti Teknikal Malaysia Melaka1
Nursyahirah Mohd SanusiUniversiti Teknikal Malaysia Melaka1
Adib OthmanUniversiti Teknikal Malaysia Melaka1
Abdullah Ali QasimTun Hussein Onn University of Malaysia1
Mohammed Najeh NemahAl-Furat Al-Awsat Technical University1
Ahmed Talaat HammoodiTun Hussein Onn University of Malaysia1
Murthad Al-YoonusAffiliation unknown1
Mustafa Haitham AlhabibCihan University - Duhok1
Mustafa Zuhaer Nayef Al-DabaghKnowledge University1
Sanjoy Kumar DebnathTun Hussein Onn University of Malaysia1
Elia Nadira SabudinTun Hussein Onn University of Malaysia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Embedded iron object detection using asynchronous full wave envelope detector technique in ground penetrating radar system</dc:title><dc:creator>Razali, Maryanti</dc:creator><dc:creator>Joret, Ariffuddin</dc:creator><dc:creator>Sulong, Muhammad Suhaimi</dc:creator><dc:creator>Abdullah, Mohammad Faiz Liew</dc:creator><dc:creator>Baharudin, Elfarizanis</dc:creator><dc:creator>Che Ku Melor, Che Ku Nor Azie Hailma</dc:creator><dc:creator>Zulkefli, Nur Izzati</dc:creator><dc:creator>Shairi, Noor Azwan</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;The use of a ground penetrating radar (GPR) system that operates at low frequencies allows the detection of embedded objects underground from the earth’s surface deeper than high frequency. However, the output signal generated from the system using &amp;lt;a name="_Hlk111888456"&amp;gt;&amp;lt;/a&amp;gt;pulse modulation (PM) technique and high-frequency carrier, has many high ripple signals consequently resulting in a blurry image. Nevertheless, this ripple signal can be minimized by reprocessing the signal using an envelope detector method. In this study, an envelope detection technique called ArJED&amp;lt;sup&amp;gt;©&amp;lt;/sup&amp;gt; asynchronous full-wave (AFW) was used in the GPR system and was tested at a frequency range from 0.06 to 0.08 GHz. A dipole antenna has been used as an embedded object detection sensor of the GPR system. The detection system of embedded objects involves four depths starting with 2 cm depth, 5 cm, 7 cm, and 20 cm. A comparison of embedded object images before and after the application of the envelope detection technique was done and proved that the proposed envelope detection technique has produced a clearer radargram image of the GPR system.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2022-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v12i6.pp6187-6195</dc:identifier><dc:identifier>10.11591/ijece.v12i6.pp6187-6195</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 12 No 6 (2022); 6187</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/28734/16061</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>