系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (8): 2763-2773.doi: 10.12305/j.issn.1001-506X.2025.08.34

• 通信与网络 • 上一篇    

无人机数据链带内电磁干扰效应预测模型与验证

张晓璐(), 陈亚洲, 赵敏   

  1. 陆军工程大学石家庄校区,河北 石家庄 050003
  • 收稿日期:2024-05-14 出版日期:2025-08-25 发布日期:2025-09-04
  • 通讯作者: 陈亚洲 E-mail:zxllucya@163.com
  • 作者简介:张晓璐(1993—),女,博士研究生,主要研究方向为复杂电磁环境效应试验与评估
    赵 敏(1985—),女,副教授,博士,主要研究方向为电磁脉冲效应试验与评估
  • 基金资助:
    国家自然科学基金(62301605)资助课题

Prediction method and verification of in-band electromagnetic interference effect for unmanned aerial vehicle data link

Xiaolu ZHANG(), Yazhou CHEN, Min ZHAO   

  1. Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China
  • Received:2024-05-14 Online:2025-08-25 Published:2025-09-04
  • Contact: Yazhou CHEN E-mail:zxllucya@163.com

摘要:

针对目前无人机数据链带内电磁干扰效应预测模型难以开展复杂电磁环境下多干扰源干扰效应预测的问题,基于直扩型数据链的干扰效应指数,建立了一种无人机数据链带内电磁干扰效应预测模型。以直扩型无人机数据链为试验对象,由单音干扰和部分频带噪声干扰组合形成多类型干扰信号组合以模拟复杂电磁环境,采用电磁干扰注入方法分别开展带内干扰失锁阈值试验和效应指数试验。结果表明,效应指数的试验值与理论值误差小于0.627 dB,验证了该模型的有效性,同时该模型还适用于部分周期信号干扰效应预测。

关键词: 无人机数据链, 电磁干扰, 干扰效应, 预测模型

Abstract:

Aiming at the problem that current in-band electromagnetic interference effect prediction models of unmanned aerial vehicle data link are difficult to predict the effect of multiple interference source interferences in a complex electromagnetic environment, a prediction model of in-band electromagnetic interference effect for unmanned aerial vehicle data link is established based on interference effect index of direct sequence spread spectrum data link. Taking the unmanned aerial vehicle data link of a direct sequence spread spectrum as test object, the multi-type interference signal combination is formed by the combination of single-tone interference and partial-band noise interference to simulate the complex electromagnetic environment. The electromagnetic interference injection method is used to carry out the in-band interference loss-of-lock threshold test and the effect index test respectively. The results show that the error between the experimental value and the theoretical value of the effect index is less than 0.627 dB, which illustrates the effectiveness of the model. Meanwhile, the model is also suitable for the prediction of periodic signal interference effect.

Key words: unmanned aerial vehicle data link, electromagnetic interference, interference effect, prediction model

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