Swarm decoys deployment for missile deceive using multi-agent reinforcement learning

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dc.contributor.authorBildik, Enver
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorPerrusquía, Adolfo
dc.contributor.authorInalhan, Gokhan
dc.coverage.spatialCrete, Greece
dc.date.accessioned2024-07-10T14:46:29Z
dc.date.available2024-07-10T14:46:29Z
dc.date.issued2024-06-19
dc.description.abstractThe development of novel radar seeker technologies has improved the hit-to-kill capability of missiles. This is particularly worrying in safety and security domains that need the design of appropriate countermeasures against adversarial missiles to ensure protection of naval facilities. This paper aims to contribute in these domains by developing an artificial intelligence (AI) based decoy deployment system capable of deceiving the missile threat. Here, a Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm is developed to maximise the distance between the target and the missile by learning the optimal/near optimal route planning of the six decoys to reach the global mission. As case study, the deployment of six decoys from the top deck of the main platform is assumed. The decoys are launched from the platform at the initial phase of the mission, and they establish a leader-follower formation that enhances the signal strength of the swarm decoys. The reward function is designed to guarantee a triangular formation configuration for swarm decoys. The reported results show that the proposed approach is capable to deceive the missile threat and has the potential to be integrated in current naval platforms.
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)
dc.format.extent256-263
dc.identifier.citationBildik E, Tsourdos A, Perrusquía A, Inalhan G. (2024), Swarm decoys deployment for missile deceive using multi-agent reinforcement learning. In: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 04-07 June 2024, Crete, Greece, pp. 256-263
dc.identifier.doi10.1109/ICUAS60882.2024.10556889
dc.identifier.eisbn979-8-3503-5788-2
dc.identifier.eissn2575-7296
dc.identifier.isbn979-8-3503-5789-9
dc.identifier.issn2373-6720
dc.identifier.urihttps://doi.org/10.1109/ICUAS60882.2024.10556889
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22617
dc.language.isoen
dc.publisherIEEE
dc.publisher.urihttps://ieeexplore.ieee.org/document/10556889
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMissiles
dc.subjectReinforcement learning
dc.subjectRadar
dc.subjectRadar countermeasures
dc.subjectPlanning
dc.subjectSecurity
dc.subjectProtection
dc.titleSwarm decoys deployment for missile deceive using multi-agent reinforcement learning
dc.typeConference paper
dcterms.temporal.endDate07-06-2024
dcterms.temporal.startDate04-06-2024

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