现代防御技术 ›› 2025, Vol. 53 ›› Issue (3): 120-128.DOI: 10.3969/j.issn.1009-086x.2025.03.014

• 指挥控制与通信 • 上一篇    

基于空域维纳滤波的多天线无线通信抗干扰技术

常海锐1, 刘寅生2, 武思军1, 王雷1   

  1. 1.北京电子工程总体研究所,北京 100854
    2.北京交通大学 电子信息工程学院,北京 100044
  • 收稿日期:2023-07-20 修回日期:2024-08-06 出版日期:2025-06-28 发布日期:2025-07-01
  • 通讯作者: 刘寅生
  • 作者简介:常海锐(1984-),男,陕西米脂人。高工,硕士,主要研究方向为指挥控制、通信。

Multi-antenna Anti-jamming Based on Spatial Wiener Filter

Hairui CHANG1, Yinsheng LIU2, Sijun WU1, Lei WANG1   

  1. 1.Beijing Institue of Electronic System Engineering,Beijing 100854,China
    2.School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China
  • Received:2023-07-20 Revised:2024-08-06 Online:2025-06-28 Published:2025-07-01
  • Contact: Yinsheng LIU

摘要:

在现代高科技战争中,电子攻击武器几乎已经覆盖所有军用通信频段,形成了电子进攻“软”“硬”杀伤态势。无线通信作为现代战争主要的通信手段,抗干扰能力制约武器系统作战效能的发挥。多接收天线可以提供除传统时域和频域之外的空域自由度,充分挖掘和利用空域自由度,可以有效对抗有意干扰对通信链路的干扰。研究基于空域维纳滤波理论的多天线抗干扰技术在无线通信干扰对抗场景下的应用和仿真,分析了大信噪比条件下空域抗干扰技术的几何模型,并结合几何模型深入分析了空域抗干扰技术机制和局限性。计算机仿真结果表明,所提出的基于空域维纳滤波理论的空域抗干扰技术有效提升了对抗恶意干扰对通信链路的干扰。

关键词: 无线抗干扰, 多天线, 空域, 维纳滤波, 最小均方误差准则

Abstract:

In modern high-tech wars, electronic attack weapons cover almost all military communication frequency bands, forming a new "soft" and "hard" electronic attack situation. Wireless communication is the main means of communication in modern war, the anti-jamming ability determines the combat effectiveness of weapon system. Multi-antenna can provide extra degree-of-freedom in spatial domain, and jamming signal can be effectively mitigated by exploiting the degree-of-freedom in spatial domain. In this paper, we investigate the application and simulation of the anti-jamming technique using multiple receiving antennas based on Wiener filter theory. To gain further insight, we analyze the geometry model in the high signal-to-noise ratio region. Computer simulation shows that the spatial anti-jamming based on Wiener filter can effectively mitigate the effect caused by jamming signal.

Key words: wireless communication anti-jamming, multiple antenna, spatial domain, Wiener filter, minimum mean square error

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