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Jurnal SINTA 3

MISSILE POSITION ESTIMATION USING UNSCENTED KALMAN FILTER

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 16 No. 1 (2022) · pp. 207–216

DOI
10.30598/barekengvol16iss1pp205-214
ISSN
2615-3017, 1978-7227
Published
2022-03-21
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

Missiles are military rocket weapons having an automatic control system to locate its targets or adjust its direction. Indonesia itself, which is a country of archipelago, covers air area of its largest territory, followed by sea area and land area. Logically, the existence of missile defense equipment (the main weapon system) or precisely the type of long-range missile is acceptable to support the defense and security of the Republic of Indonesia, but its consequences to be operated in the territory of Indonesia itself, in case of an occufanct of an error in targeting the target, will fall on of harm to its own national territory. Therefore, trajectory estimation for guided missiles is the basic requirement for guided missiles to be aimed at the precise targets. The trajectory is used as a guide to direct that the missile reach the target by following the given path. To maintain the accuracy of the trajectory continuously, the missile trajectory estimation was made by using Unscented Kalman Filter (UKF) Algorithm. This algorithm was used to estimate nonlinear dynamic models The simulation results showed that the UKF method was effective, showing the accuracy of 97% by the UKF method

Collaboration network of the authors

37 authors · 105 co-authorship links · 12 across different organisations

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

  • Institut Teknologi Sepuluh Nopember
  • Universitas Nahdlatul Ulama Surabaya
  • Darul Ulum Islamic University
  • Universitas Muhammadiyah Malang
  • Universitas Airlangga
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Hendro NurhadiInstitut Teknologi Sepuluh Nopember8
Berny Pebo TomasouwAffiliation unknown6
Andy SuryowinotoAffiliation unknown5
Dinita RahmaliaDarul Ulum Islamic University3
Dieky AdzkiyaInstitut Teknologi Sepuluh Nopember2
Firman YudiantoAffiliation unknown2
Fajar Annas SusantoAffiliation unknown2
Katherin IndriawatiInstitut Teknologi Sepuluh Nopember2
Reza Maliki AkbarAffiliation unknown2
Vaizal Asy'ariAffiliation unknown2
Hamzah ArofAffiliation unknown2
Erna AprilianiInstitut Teknologi Sepuluh Nopember1
Mayga KikiInstitut Teknologi Sepuluh Nopember1
Thomy Eko SaputroUniversitas Muhammadiyah Malang1
Sari CahyaningtiasAffiliation unknown1
Tahiyatul AsfihaniAffiliation unknown1
Irma FitriaAffiliation unknown1
Talitha B AtlantaAffiliation unknown1
Nadia AzahraAffiliation unknown1
Choiriyah AgustinaAffiliation unknown1
S CahyaningtiasAffiliation unknown1
Moch ZakariaAffiliation unknown1
Abdul MuhithAffiliation unknown1
Dian AdriantoAffiliation unknown1
Muhammad Sawal BaitalAffiliation unknown1
Angga Adhitya WidjanarkoAffiliation unknown1
Yuliyanto Agung PrabowoAffiliation unknown1
Nyoman JuniartaInstitut Teknologi Sepuluh Nopember1
Aji Akbar FirdausUniversitas Airlangga1
Ragil Puji RahayuAffiliation unknown1
Dina NovitaAffiliation unknown1
Arasy AlimudinAffiliation unknown1
Akas Yekti Pulih AsihAffiliation unknown1
Puguh TriwinantoAffiliation unknown1
Rachman Sinatriya MarjiantoAffiliation unknown1

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.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">MISSILE POSITION ESTIMATION USING UNSCENTED KALMAN FILTER</dc:title>
	<dc:creator>Herlambang, Teguh</dc:creator>
	<dc:creator>Subchan, Subchan</dc:creator>
	<dc:description xml:lang="en-US">Missiles are military rocket weapons having an automatic control system to locate its targets or adjust its direction. Indonesia itself, which is a country of archipelago, covers air area of its largest territory, followed by sea area and land area. Logically, the existence of missile defense equipment (the main weapon system) or precisely the type of long-range missile is acceptable to support the defense and security of the Republic of Indonesia, but its consequences to be operated in the territory of Indonesia itself, in case of an occufanct of an error in targeting the target, will fall on of harm to its own national territory. Therefore, trajectory estimation for guided missiles is the basic requirement for guided missiles to be aimed at the precise targets. The trajectory is used as a guide to direct that the missile reach the target by following the given path. To maintain the accuracy of the trajectory continuously, the missile trajectory estimation was made by using Unscented Kalman Filter (UKF) Algorithm. This algorithm was used to estimate nonlinear dynamic models The simulation results showed that the UKF method was effective, showing the accuracy of 97% by the UKF method</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2022-03-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4922</dc:identifier>
	<dc:identifier>10.30598/barekengvol16iss1pp205-214</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 207-216</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol16iss1year2022</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>info:eu-repo/grantAgreement/EC/FP7/123456</dc:relation>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4922/4023</dc:relation>
	<dc:rights xml:lang="en-US">info:eu-repo/semantics/openAccess</dc:rights>
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