平台回波和对眼干扰对主-被动复合单脉冲雷达

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Dong Li, Yongcai Liu, Liang Zhou, Binbin Su, Jin Meng
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引用次数: 0

摘要

主-被动复合单脉冲雷达(APCMR)结合了有源雷达和无源雷达的优点,增强了雷达的抗干扰能力。先前的研究已经讨论了在隔离平台回波的简化情况下,对眼干扰对APCMR的有效性。本文综合考虑平台回波和对眼干扰信号,对APCMR的干扰性能进行了分析。建立了平台回波存在下的对眼干扰APCMR的数学模型,从对眼增益和对眼增益概率两方面对有源雷达和无源雷达的干扰性能进行了评价和比较。为了保证对有源和无源雷达的干扰性能,在数值模拟的基础上提出了干扰机参数的设置准则。研究结果可为交叉眼干扰器的设计和应用提供理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Platform echo and cross-eye jamming against active-passive composite monopulse radars

Platform echo and cross-eye jamming against active-passive composite monopulse radars

Active-passive composite monopulse radar (APCMR) enhances the anti-jamming capability by combing the advantages of active radars and passive radars. Previous studies have discussed the effectiveness of cross-eye jamming against APCMR in a simplified scenario for isolating platform echo. In this paper, platform echo and cross-eye jamming signals are jointly considered to analyse the jamming performance on APCMR. A mathematical model of the cross-eye jamming against APCMR is established in the presence of the platform echo, and the jamming performance on active radar and passive radar is evaluated and compared in terms of cross-eye gain and its probability. In order to ensure the jamming performance on both active and passive radars, a guideline for the setting of jammer parameters is proposed based on numerical simulations. The study can provide theoretical foundation for the design and application of cross-eye jammers.

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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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