Distributed Target Assignment Method for UAV Swarms Using Identity Hungarian Algorithm

被引：0

作者：

Liu X. ^{[1
]}

Guo R. ^{[1
]}

Ren C. ^{[1
]}

Yan C. ^{[2
]}

Chang Y. ^{[3
]}

Zhou H. ^{[2
]}

Xiang X. ^{[2
]}

机构：

[1] Unit 32399 of PLA, Jiangsu, Nanjing

[2] College of Intelligence Science and Technology, National University of Defense Technology, Hunan, Changsha

[3] Academy of Military Sciences, Beijing

来源：

Binggong Xuebao/Acta Armamentarii | 2023年 / 44卷 / 09期

关键词：

attack superiority; distributed target assignment; Hungarian algorithm; UAV swarm;

D O I：

10.12382/bgxb.2022.0994

中图分类号：

学科分类号：

摘要：

Distributed strike capabilities against multiple enemy targets are crucial for Unmanned Aerial Vehicle (UAV) swarms in combat scenarios. One key challenge is how individual UAVs choose their targets for effective strikes. Most existing target allocation algorithms are designed for centralized target allocation problems with global information, making them unsuitable for battlefield environments with local perception and interaction. To address this, we propose the Identity Hungarian Algorithm, which incorporates drone and target identities into the traditional Hungarian algorithm. This approach considers factors such as proximity, target value, target distance, target azimuth, and UAV speed to achieve distributed target allocation for UAV swarms. Case study results demonstrate that the proposed identity Hungarian Algorithm mitigates target omission and redundancy attacks, enhances the overall combat effectiveness of the UAV swarm, and lays the foundation for effective combat strategies in sequence. © 2023 China Ordnance Society. All rights reserved.

引用

页码：2824 / 2835

页数：11

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