A Review of Multidimensional Assignment in Multi-Sensor Multi-Target Tracking

Said Kemal Cengiz*, Murad Abu-Khalaf, Ramazan Yeniceri

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study provides an overview of the use of the multidimensional assignment (MDA) algorithm in the context of multi-sensor multi-target tracking. Simulations based on Lagrangian relaxations, linear programming relaxations, and 2-D heuristic approaches are shown; numerical comparisons are made for several s dimensional (s-D) examples, where s > 2. Computational time performance issues are highlighted.

Original languageEnglish
Title of host publicationICNS 2024 - 2024 Integrated Communications, Navigation and Surveillance Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350393095
DOIs
Publication statusPublished - 2024
Event24th Integrated Communications, Navigation and Surveillance Conference, ICNS 2024 - Herndon, United States
Duration: 23 Apr 202425 Apr 2024

Publication series

NameIntegrated Communications, Navigation and Surveillance Conference, ICNS
ISSN (Print)2155-4943
ISSN (Electronic)2155-4951

Conference

Conference24th Integrated Communications, Navigation and Surveillance Conference, ICNS 2024
Country/TerritoryUnited States
CityHerndon
Period23/04/2425/04/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • data association
  • integer programming
  • Lagrangian relaxation
  • multi-sensor
  • multi-target
  • multidimensional assignment
  • track-to-track association
  • tracking

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