Connected Subgraph-Based Heuristic Conflict-Free Association for Multi-Drone

IEEE Signal Processing Letters 2026

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Authors: Xuqi Yang, Tong Wang, N Zhang, Chen He
DOI: 10.1109/lsp.2026.3692439
Cited by: 1
References: 18

Abstract

Multi-drone multi-target association suffers from cognitive conflicts in multi-perspective scenarios due to chain rule aggregation. This letter defines the Conflict-Free Association (CFA) task and proposes Connected Subgraph-Based Heuristic Association (CSHA) with a plug-and-play Conflict Resolution Module (CRM). By mapping associations to graphs and searching for conflict-free subgraphs via a greedy algorithm, CSHA resolves conflicts effectively. Experiments on Rflysim and real-world data validate its superiority.

Fields of Study & Subjects

UAV Applications and Optimization Distributed Control Multi-Agent Systems Military Defense Systems Analysis

Publication details

Journal / source
IEEE Signal Processing Letters
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
33
Pages
2086–2090
Publication date
1 January 2026