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兵工学报 ›› 2020, Vol. 41 ›› Issue (1): 108-118.doi: 10.3969/j.issn.1000-1093.2020.01.013

• 论文 • 上一篇    下一篇

卫星导航欺骗干扰装备效能评估方法

王月, 郝金明, 刘伟平   

  1. (战略支援部队信息工程大学 地理空间信息学院, 河南 郑州 450001)
  • 收稿日期:2019-03-25 修回日期:2019-03-25 上线日期:2020-02-22
  • 通讯作者: 郝金明(1962—),男,教授,博士生导师 E-mail:haojm@139.com
  • 作者简介:王月(1994—),女,硕士研究生。E-mail: 2895771372@qq.com
  • 基金资助:
    地理信息工程国家重点实验室开放研究基金项目(SKLGIE2017-M-2-1)

Evaluation Method for Effectiveness of GNSS Spoofer

WANG Yue, HAO Jinming, LIU Weiping   

  1. (College of Geospatial Information, PLA Information Engineering University, Zhengzhou 450001, Henan, China)
  • Received:2019-03-25 Revised:2019-03-25 Online:2020-02-22

摘要: 作为“导航战”重要工具之一的卫星导航欺骗干扰装备,其干扰效能直接关系到被保护目标的生存概率。为给出置信度较高的效能评估,有利于装备高效应用于实际,在合理的评估指标体系和评估试验平台基础上,通过建立指标的检测方法及计算模型,得到理论评估方法;采用模糊综合评价思路、半定性和半定量的等级量化定权方法及加权积的算法,得到理论评估阈值;以全数字、半实物仿真和全实物外场试验,分析效能指标对装备干扰效果的具体影响并得到结论。研究结果表明,缩短信号捕获时间,适宜增加干扰信号功率等方式都可全面提高装备干扰效果。

关键词: 导航战, 欺骗式干扰, 指标体系, 模糊综合评价, 干扰效能测试

Abstract: The performance of GNSS spoofer, as one of the important tools of "navigation warfare", is directly related to the survival probability of the protected target. To provide an effectiveness evaluation with high confidence, the specific detection methods and calculation models of various indicators are established on the basis of a reasonable effictiveness evaluation indicator system and an evaluation test platform, and a basic method is proposed for equipment effectiveness evaluation. A theoretical evaluation threshold is set by using fuzzy comprehensive evaluation model, semi-qualitative and semi-quantitative grading method and weighted product synthesis algorithm. Based on the all-digital, half size hardware-in-the-loop simulation and full physical field tests, the effects of the main performance indicators on spoofing effectiveness are analyzed. The results show that the spoofing effectiveness can be improved by shortening the time of signal acquisition and increasing the power of spoofing signal and so on. Key

Key words: navigationwar, spoofing, indicatorsystem, fuzzycomprehensiveevaluation, spoofingeffectivenesstest

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