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 language | English |
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| Title of host publication | ICNS 2024 - 2024 Integrated Communications, Navigation and Surveillance Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350393095 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 24th Integrated Communications, Navigation and Surveillance Conference, ICNS 2024 - Herndon, United States Duration: 23 Apr 2024 → 25 Apr 2024 |
Publication series
| Name | Integrated Communications, Navigation and Surveillance Conference, ICNS |
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| ISSN (Print) | 2155-4943 |
| ISSN (Electronic) | 2155-4951 |
Conference
| Conference | 24th Integrated Communications, Navigation and Surveillance Conference, ICNS 2024 |
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| Country/Territory | United States |
| City | Herndon |
| Period | 23/04/24 → 25/04/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- data association
- integer programming
- Lagrangian relaxation
- multi-sensor
- multi-target
- multidimensional assignment
- track-to-track association
- tracking