系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (7): 2195-2205.doi: 10.12305/j.issn.1001-506X.2026.07.07

• 传感器与信号处理 • 上一篇    

基于多无人机协同的航迹欺骗误差分析

班宏辉, 潘继飞, 王正, 崔瑞   

  1. 国防科技大学电子对抗学院,安徽 合肥 230037
  • 收稿日期:2025-01-22 修回日期:2025-04-28 接受日期:2025-07-18 出版日期:2025-06-11 发布日期:2025-06-11
  • 通讯作者: 潘继飞
  • 基金资助:
    国防科技大学自主科研基金(23A101)资助课题

Trajectory deception error analysis based on multi-UAV collaboration

Honghui BAN, Jifei PAN, Zheng WANG, Rui CUI   

  1. College of Electronic Engineering,National University of Defense Technology,Hefei 230037,China
  • Received:2025-01-22 Revised:2025-04-28 Accepted:2025-07-18 Online:2025-06-11 Published:2025-06-11
  • Contact: Jifei PAN

摘要:

在雷达对抗中,多无人机协同航迹欺骗对消耗对方雷达资源、掩护真实目标作用显著,但受到定位精度、无人机位置及调制参数等误差影响。对此,构建航迹欺骗基础模型后,重点分析雷达先验位置误差与无人机位置误差对虚假航迹的影响,推导空间理论模型,明确误差与假目标偏移关系及量测关联条件,推导调制参数和雷达散射截面积一致性、速度一致性检测条件。针对空间耦合误差进行综合分析并提出补偿方案。仿真实验证明,理论分析可有效估测航迹欺骗效果,补偿方案具有一定的可行性与有效性。

关键词: 航迹欺骗, 误差分析, 组网雷达, 无人机

Abstract:

In radar countermeasures, multi-unmanned aerial vehicle (UAV) cooperative trajectory deception plays a significant role in consuming enemy radar resources and masking real targets. However, it is affected by errors in positioning accuracy, UAV positions, and modulation parameters. In regard to this, after constructing a basic model for trajectory deception, this paper focuses on analyzing the impacts of radar priori position errors and UAV position errors on false trajectories. It derives a spatial theoretical model to clarify the relationship between errors and false target deviations, as well as the measurement association conditions. This paper deduces the detection conditions for velocity consistency and the consistency between modulation parameters and radar cross-section (RCS). A comprehensive analysis of spatial coupling errors is conducted, and corresponding compensation schemes are proposed. Simulation experiments demonstrate that the theoretical analysis can effectively estimate the effect of trajectory deception, and the compensation schemes exhibit feasibility and effectiveness.

Key words: trajectory deception, error analysis, networked radar, unmanned aerial vehicle (UAV)

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