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A small vessel detection using a co-located multi-frequency FMCW MIMO radar

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 6 (2021)

DOI
10.11591/ijece.v11i6.pp5144-5152
ISSN
2722-2578, 2088-8708
Published
2021-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Small vessels detection is a known issue due to its low radar cross section (RCS). An existing shore-based vessel tracking radar is for long-distance commercial vessels detection. Meanwhile, a vessel-mounted radar system known for its reliability has a limitation due to its single radar coverage. The paper presented a co-located frequency modulated continuous waveform (FMCW) maritime radar for small vessel detection utilising a multiple-input multiple-output (MIMO) configuration. The radar behaviour is numerically simulated for detecting a Swerling 1 target which resembles small maritime’s vessels. The simulated MIMO configuration comprised two transmitting and receiving nodes. The proposal is to utilize a multi-frequency FMCW MIMO configuration in a maritime environment by applying the spectrum averaging (SA) to fuse MIMO received signals for range and velocity estimation. The analysis was summarised and displayed in terms of estimation error performance, probability of error and average error. The simulation outcomes an improvement of 2.2 dB for a static target, and 0.1 dB for a moving target, in resulting the 20% probability of range error with the MIMO setup. A moving vessel's effect was observed to degrade the range error estimation performance between 0.6 to 2.7 dB. Meanwhile, the proposed method was proven to improve the 20% probability of velocity error by 1.75 dB. The impact of multi-frequency MIMO was also observed to produce better average error performance.

Collaboration network of the authors

23 authors · 75 co-authorship links · 28 across different organisations

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  • Universiti Teknologi MARA
  • Universiti Teknikal Malaysia Melaka
  • Universiti Putra Malaysia
  • Trakya University
  • University of Technology Malaysia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nor Ayu Zalina ZakariaUniversiti Teknikal Malaysia Melaka3
Khairul Khaizi Mohd ShariffUniversiti Teknologi MARA2
Noor Hafizah Abdul AzizUniversiti Teknologi MARA2
Mohd Syafiq MispanUniversiti Teknikal Malaysia Melaka2
Nur Fatin Shazwani Nor RazmanUniversiti Teknikal Malaysia Melaka2
Haslinah Mohd NasirUniversiti Teknikal Malaysia Melaka2
Noor Mohd Ariff BrahinUniversiti Teknikal Malaysia Melaka2
Yoshihide YamadaUniversity of Technology Malaysia1
Afiza Nur JaafarUniversiti Teknologi MARA1
Hajar Ja’afarUniversiti Teknologi MARA1
Fatemeh SadeghikiaAffiliation unknown1
Mohd Khairil Adzhar MahmoodUniversiti Teknologi MARA1
Megat Syahirul Amin Megat AliUniversiti Teknologi MARA1
Hidayatusherlina RazaliUniversiti Teknologi MARA1
Muhammad Nazrin Farhan NasarudinUniversiti Teknologi MARA1
Nor Najwa IsmailUniversiti Teknologi MARA1
Zuhani Ismail KhanUniversiti Teknologi MARA1
Siti Amalina Enche Ab RahimUniversiti Teknologi MARA1

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>A small vessel detection using a co-located multi-frequency FMCW MIMO radar</dc:title><dc:creator>Zainuddin, Suraya</dc:creator><dc:creator>Abd Rashid, Nur Emileen</dc:creator><dc:creator>Pasya, Idnin</dc:creator><dc:creator>Raja Abdullah, Raja Syamsul Azmir</dc:creator><dc:creator>Cengiz, Korhan</dc:creator><dc:description>&lt;jats:p&gt;Small vessels detection is a known issue due to its low radar cross section (RCS). An existing shore-based vessel tracking radar is for long-distance commercial vessels detection. Meanwhile, a vessel-mounted radar system known for its reliability has a limitation due to its single radar coverage. The paper presented a co-located frequency modulated continuous waveform (FMCW) maritime radar for small vessel detection utilising a multiple-input multiple-output (MIMO) configuration. The radar behaviour is numerically simulated for detecting a Swerling 1 target which resembles small maritime’s vessels. The simulated MIMO configuration comprised two transmitting and receiving nodes. The proposal is to utilize a multi-frequency FMCW MIMO configuration in a maritime environment by applying the spectrum averaging (SA) to fuse MIMO received signals for range and velocity estimation. The analysis was summarised and displayed in terms of estimation error performance, probability of error and average error. The simulation outcomes an improvement of 2.2 dB for a static target, and 0.1 dB for a moving target, in resulting the 20% probability of range error with the MIMO setup. A moving vessel's effect was observed to degrade the range error estimation performance between 0.6 to 2.7 dB. Meanwhile, the proposed method was proven to improve the 20% probability of velocity error by 1.75 dB. The impact of multi-frequency MIMO was also observed to produce better average error performance.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2021-12-01</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.v11i6.pp5144-5152</dc:identifier><dc:identifier>10.11591/ijece.v11i6.pp5144-5152</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 11 No 6 (2021); 5144</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/25632/15283</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>