Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding

Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding

Modern radar systems face increasingly complex challenges in tasks such as detection, tracking, and identification. The diversity of task types, limited data resources, and strict execution time requirements make radar task scheduling a strongly NP-hard problem. However, existing scheduling algorith...

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Bibliographic Details
Main Authors: Haoqing LI, Dian YU, Changchun PAN, Wenxian YU, Dongying LI
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2025-04-01
Series:Leida xuebao
Subjects:
radar task scheduling
graph neural network (gnn)
reinforcement learning
model knowledge
laplace matrix
random matrix
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR24222
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https://radars.ac.cn/cn/article/doi/10.12000/JR24222

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