系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (2): 633-640.doi: 10.12305/j.issn.1001-506X.2025.02.29

• 制导、导航与控制 • 上一篇    

面向阵列天线抗干扰无人机的隐蔽诱骗方法

尹中杰1, 侯博1,2,*, 靳啸龙1, 范志良1, 王海洋1   

  1. 1. 火箭军工程大学作战保障学院, 陕西 西安 710025
    2. 西北工业大学自动化学院, 陕西 西安 710072
  • 收稿日期:2024-03-11 出版日期:2025-02-25 发布日期:2025-03-18
  • 通讯作者: 侯博
  • 作者简介:尹中杰(2000—), 男, 硕士研究生, 主要研究方向为无人机导航诱骗
    侯博(1988—), 男, 副教授, 博士, 主要研究方向为导航对抗、分布式协同控制
    靳啸龙(2001—), 男, 硕士研究生, 主要研究方向为群智能
    范志良(1983—), 男, 副教授, 博士, 主要研究方向为卫星导航对抗
    王海洋(1992—), 男, 讲师, 博士, 主要研究方向为卫星导航对抗
  • 基金资助:
    国家自然科学基金青年项目(62003363);国家自然科学基金青年项目(62303485);陕西省自然科学基础研究计划(2022KJXX-99)

Covert spoofing method for anti-jamming UAV with array antenna

Zhongjie YIN1, Bo HOU1,2,*, Xiaolong JIN1, Zhiliang FAN1, Haiyang WANG1   

  1. 1. School of Combat Supporting, Rocket Force University of Engineering, Xi'an 710025, China
    2. School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2024-03-11 Online:2025-02-25 Published:2025-03-18
  • Contact: Bo HOU

摘要:

传统无人机导航诱骗技术采用单天线发射诱骗信号, 而配备阵列天线的非合作无人机具备信号来向识别能力, 可对单一来向的诱骗信号进行检测识别和抑制, 从而导致诱骗失败。针对该问题, 提出一种针对阵列天线抗干扰无人机的隐蔽导航诱骗方法。首先, 设计一种基于密度的噪声应用空间聚类(density-based spatial clustering of application with noise, DBSCAN)-Kmeans混合聚类算法, 按照真实导航卫星相对目标无人机的方位进行信号来向的分簇聚类, 得到诱骗信号最佳来向角度。其次, 多架合作无人机搭载诱骗载荷, 由最佳来向角度处协同发射相互自洽的诱骗信号, 使诱骗信号与真实信号来向近乎一致。最后, 试验结果表明, 多诱骗载荷发射的多来向诱骗信号可以成功侵入配备阵列天线的非合作无人机导航链路, 所提方法具有良好的隐蔽性和可行性。

关键词: 无人机反制, 隐蔽导航诱骗, 无人机协同, 混合聚类

Abstract:

Traditional unmanned aerial vehicle (UAV) navigation spoofing techniques use a single antenna to transmit spoofing signals, while non-cooperative UAV equipped with array antennas has the ability to recognize the arriving directions of signals, which can detect, identify, and suppress spoofing signals from a single arriving direction, leading to spoofing failures. To address this issue, firstly, a density-based spatial clustering of applications with noise(DBSCAN)-Kmeans hybrid clustering algorithm is designed to cluster the signal directions based on the true navigation satellite relative to the target UAV azimuth, in order to obtain the optimal direction angle for the spoofing signal. Secondly, multiple cooperative UAVs carry spoofing payloads and transmit mutually self-consistent spoofing signals from the optimal arriving directions, which makes sure that the spoofing signals are nearly identical to the real signals arriving directions. Finally, experimental results show that the multi-directions spoofing signals transmitted by multiple spoofing payloads can successfully intrude into the navigation links of non-cooperative UAV equipped with array antennas, and the proposed method has good covertness and feasibility.

Key words: unmanned aerial vehicle (UAV) countermeasures, covert navigation spoofing, UAV collabo-ration, hybrid clustering

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