系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (8): 2099-2107.doi: 10.12305/j.issn.1001-506X.2021.08.10

• 传感器与信号处理 • 上一篇    下一篇

基于分层极化特性的箔条云识别方法

李永祯, 刘业民*, 庞晨, 黄大通   

  1. 国防科技大学电子科学学院, 湖南 长沙 410073
  • 收稿日期:2020-10-16 出版日期:2021-08-01 发布日期:2021-08-05
  • 通讯作者: 刘业民
  • 作者简介:李永祯(1977—), 男, 研究员, 博士研究生导师, 博士,主要研究方向为极化雷达信号处理以及雷达电子对抗|刘业民(1982—), 男, 工程师, 博士, 主要研究方向为电子对抗与反对抗、雷达信号处理|庞晨(1986—), 男, 副研究员, 博士研究生,主要研究方向为相控阵雷达极化信息精确获取、极化抗干扰、极化特征提取与识别|黄大通(1993—), 男, 博士研究生, 主要研究方向为合成孔径雷达信号处理与对抗
  • 基金资助:
    国家自然科学基金资助课题(61971429);国家自然科学基金资助课题(61490692)

Chaff clouds recognition method based on layered polarization characteristics

Yongzhen LI, Yemin LIU*, Chen PANG, Datong HUANG   

  1. College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
  • Received:2020-10-16 Online:2021-08-01 Published:2021-08-05
  • Contact: Yemin LIU

摘要:

箔条作为典型的无源干扰手段, 在空中运动扩散和分布取向复杂多变, 具有不确定性, 其雷达特性相当复杂, 即使先进的合成孔径雷达(synthetic aperture radar, SAR)导引头也难以应对。对此, 从箔条云的极化特性和空气动力学特性入手, 提出一种基于分层极化特性的箔条云干扰识别方法, 利用箔条云特有的分层极化特性来识别箔条干扰。所提方法利用干涉原理获取目标的高度维信息, 提出特征识别量ρ用于衡量箔条云和舰船目标的极化特性差异, 并讨论了所提方法的适用范围。理论分析和仿真结果验证了所提方法的可行性。

关键词: 极化, 箔条云, 目标识别, 合成孔径雷达导引头

Abstract:

As a typical passive jamming method, chaff movement in the air and its distribution orientation are complex and changeable, with uncertainties. Its radar characteristics are quite complicated, even the advanced synthetic aperture radar (SAR) seeker is difficult to deal with. Under this situation, a chaff clouds interference recognition method from the polarization characteristics and aerodynamic characteristics of chaff clouds is proposed. The unique layered polarization characteristics of chaff clouds can be used to recognize the chaff jamming. The height dimension information of the target is obtained by using the interference principle, and the feature recognition quantity ρ is used to measure the polarization difference between the chaff clouds and the ship target. The application scope of the proposed method is also discussed. Theoretical analysis and simulation results verify the feasibility of the proposed method.

Key words: polarization, chaff clouds, target recognition, synthetic aperture radar (SAR) seeker

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