Rodrigues de Miranda, Benjamin and Huber, Sigurd and Brosch, Tobias and Pardey, Johannes and Hauff, Johannes and Krieger, Gerhard (2025) Quantum Optimised Beam Allocation with a Radar Network for Multiple Target Tracking. In: 2025 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2025. IEEE Xplore Digital Library. 2025 IEEE International Workshop on Technologies for Defence and Security, 2025-11-05 - 2025-11-07, Rome, Italy.
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Abstract
Optimally allocating a limited number of radar beams to actively track multiple targets is a computationally intensive task. The quantum approximate optimisation algorithm, a method for efficiently finding near optimal solutions to combinatorial optimisation problems, was assessed in its ability to find good beam allocations. A simulation, including sensors, targets, and an extended Kalman filter, was created specifically for this work and was used in tandem with a simulated quantum environment to this end. After reformulating the problem, two small scale test cases were implemented. In both cases, the returned beam allocations were optimal in that they resulted in as many targets as possible being tracked to an acceptable level based on predetermined thresholds. In addition, a complexity analysis was performed which suggests that a quantum advantage may be possible for this problem if the quantum circuit parameters can be efficiently calculated. Based on these results, the quantum approximate optimisation algorithm is promising for the beam allocation problem.
| Item URL in elib: | https://elib.dlr.de/216513/ | ||||||||||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Lecture) | ||||||||||||||||||||||||||||
| Title: | Quantum Optimised Beam Allocation with a Radar Network for Multiple Target Tracking | ||||||||||||||||||||||||||||
| Authors: |
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| Date: | 20 July 2025 | ||||||||||||||||||||||||||||
| Journal or Publication Title: | 2025 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2025 | ||||||||||||||||||||||||||||
| Refereed publication: | No | ||||||||||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||||||||||
| Editors: |
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| Publisher: | IEEE Xplore Digital Library | ||||||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||||||
| Keywords: | sensor fusion, state estimation, resource management, beam allocation, target tracking, radar, network, nonlinear assignment, quantum computing, quantum approximate optimisation. | ||||||||||||||||||||||||||||
| Event Title: | 2025 IEEE International Workshop on Technologies for Defence and Security | ||||||||||||||||||||||||||||
| Event Location: | Rome, Italy | ||||||||||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||||||||||
| Event Start Date: | 5 November 2025 | ||||||||||||||||||||||||||||
| Event End Date: | 7 November 2025 | ||||||||||||||||||||||||||||
| Organizer: | IEEE | ||||||||||||||||||||||||||||
| HGF - Research field: | other | ||||||||||||||||||||||||||||
| HGF - Program: | other | ||||||||||||||||||||||||||||
| HGF - Program Themes: | other | ||||||||||||||||||||||||||||
| DLR - Research area: | Quantum Computing Initiative | ||||||||||||||||||||||||||||
| DLR - Program: | QC AW - Applications | ||||||||||||||||||||||||||||
| DLR - Research theme (Project): | QC - QUA-SAR | ||||||||||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
| Institutes and Institutions: | Microwaves and Radar Institute > Radar Concepts | ||||||||||||||||||||||||||||
| Deposited By: | Rodrigues de Miranda, Benjamin | ||||||||||||||||||||||||||||
| Deposited On: | 24 Sep 2025 18:09 | ||||||||||||||||||||||||||||
| Last Modified: | 01 Dec 2025 18:11 |
Available Versions of this Item
- Quantum Optimised Beam Allocation with a Radar Network for Multiple Target Tracking. (deposited 24 Sep 2025 18:09) [Currently Displayed]
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