基于波形域的匹配滤波前抗间歇采样转发干扰方法

苏汉宁 潘嘉蒙 鲍庆龙 郭福成 胡卫东

苏汉宁, 潘嘉蒙, 鲍庆龙, 等. 基于波形域的匹配滤波前抗间歇采样转发干扰方法[J]. 雷达学报(中英文), 2024, 13(1): 240–252. doi: 10.12000/JR23149
引用本文: 苏汉宁, 潘嘉蒙, 鲍庆龙, 等. 基于波形域的匹配滤波前抗间歇采样转发干扰方法[J]. 雷达学报(中英文), 2024, 13(1): 240–252. doi: 10.12000/JR23149
SU Hanning, PAN Jiameng, BAO Qinglong, et al. Anti-interrupted sampling repeater jamming method in the waveform domain before matched filtering[J]. Journal of Radars, 2024, 13(1): 240–252. doi: 10.12000/JR23149
Citation: SU Hanning, PAN Jiameng, BAO Qinglong, et al. Anti-interrupted sampling repeater jamming method in the waveform domain before matched filtering[J]. Journal of Radars, 2024, 13(1): 240–252. doi: 10.12000/JR23149

基于波形域的匹配滤波前抗间歇采样转发干扰方法

doi: 10.12000/JR23149
基金项目: 国家自然科学基金(62201594, 62231026)
详细信息
    作者简介:

    苏汉宁,博士生,主要研究方向为雷达波形设计、雷达抗干扰技术和雷达信号处理

    潘嘉蒙,博士,讲师,主要研究方向为无源探测、目标跟踪和雷达信号处理

    鲍庆龙,博士,研究员,硕士生导师,主要研究方向为雷达数据采集、无源探测和雷达信号处理

    郭福成,博士,教授,博士生导师,主要研究方向为无源定位、目标跟踪和雷达信号处理

    胡卫东,博士,教授,博士生导师,主要研究方向为雷达信息处理与目标识别、多源信息融合

    通讯作者:

    苏汉宁 hanningsu18@nudt.edu.cn

    潘嘉蒙 panjiameng@nudt.edu.cn

  • 责任主编:全英汇 Corresponding Editor: QUAN Yinghui
  • 中图分类号: TN95

Anti-interrupted Sampling Repeater Jamming Method in the Waveform Domain before Matched Filtering

Funds: The National Natural Science Foundation of China (62201594, 62231026)
More Information
  • 摘要: 间歇采样转发干扰属于一类脉内相干欺骗干扰,其运用欠采样原理,在距离维上产生多个虚假的目标峰,从而干扰真实目标的检测与跟踪。为了解决这一问题,该文提出了一种基于波形域的匹配滤波前抗间歇采样转发干扰方法。首先,考虑到间歇采样转发干扰的部分匹配特性,该文在匹配滤波过程中引入了扩展域,即波形域,以研究干扰信号与真实目标回波信号元素的局部特征,并在每个波形域上定义了自适应的阈值函数。其次,引入卡尔曼滤波对波形域信号进行状态估计,通过自适应阈值检测筛选出波形域信号中的有效积分元素与无效积分元素,并建立关于有效积分元素的估计状态空间。最后,在抑制波形域信号中的无效积分元素的同时,从有效积分元素的估计状态空间中补充相应长度的积分元素,保留剩余的有效积分元素,通过积分得到不含虚假目标的距离像结果。该文所提方法不倚赖于任何干扰机参数等先验信息,即可有效抑制间歇采样转发干扰。仿真实验表明,与传统方法相比,该文方法实现的抗间歇采样转发干扰性能更优。

     

  • 图  1  时域、波形域和距离域的信号表征形式(线性调频信号为例)

    Figure  1.  Signal representation in time, waveform, and range domains (using linear frequency modulated signal as an example)

    图  2  $ {t}_{1} $, $ {t}_{2} $, $ {t}_{3} $时刻下,使用波形域的IMM-KF方法进行估计的结果以及相应的波形域标记结果

    Figure  2.  Results of estimation using waveform domain IMM-KF method at $ {t}_{1} $, $ {t}_{2} $, and $ {t}_{3} $,along with corresponding waveform domain labels

    图  3  归一化一维距离像

    Figure  3.  Normalized one-dimensional range image

    图  4  干扰场景下不同方法的输出结果

    Figure  4.  Output results of different methods in the presence of interference acenarios

    图  5  不同输入信噪比和信干比条件下本文方法匹配滤波输出平均峰值

    Figure  5.  Average peak values of matched filter output for various input SNRs and SJRs using the proposed method

    图  6  不同间歇采样周期和采样占空比条件下的干扰平均峰值电平变化曲线

    Figure  6.  Curves of average peak interference levels under various intermittent sampling periods and sampling duty cycles

    图  7  重复转发与循环转发干扰模式下波形域抗干扰输出结果

    Figure  7.  Waveform domain anti-Jamming output results under repetitive retransmission and cyclic retransmission interference modes

    表  1  不同信号表征形式的比较与联系

    Table  1.   Comparison and correlation of different signal representation forms.

    信号表征形式 特点
    时域 1. 区间长度无限长。2. 表征信号的时域波形。
    距离域 1. 区间长度是信号的脉冲重复周期。2. 表征信号的匹配滤波结果,即一维距离像。3. 距离域时刻与时域快时间一一对应。
    波形域 1. 区间长度为无限长。2. 表征$ {\upsilon }^{\left(t\right)}\left(\mu \right) $的处理过程。3. 区间与时域快时间和距离域时刻一一对应,
    即每个时刻t都对应着一个无限长的波形域,可视为每个时刻下的拓展子空间。
    下载: 导出CSV

    表  2  干扰场景的仿真参数

    Table  2.   Simulation parameters of the jamming scene

    参数 数值
    载频$ {f}_{0}\left(\mathrm{G}\mathrm{H}\mathrm{z}\right) $ 2
    脉冲重复频率$ \mathrm{P}\mathrm{R}\mathrm{F}\left(\mathrm{k}\mathrm{H}\mathrm{z}\right) $ 1
    目标径向距离$ {d}_{0}\left(\mathrm{k}\mathrm{m}\right) $ $ 60 $
    目标径向速度$ \vartheta_0(\mathrm{m}/\mathrm{s}) $ $ 300 $
    干扰径向距离$ {d}_{1}\left(\mathrm{k}\mathrm{m}\right),{d}_{2}\left(\mathrm{k}\mathrm{m}\right) $ $ \mathrm{54,20} $
    干扰径向速度$ {\vartheta }_{1}(\mathrm{m}/\mathrm{s}),{\vartheta }_{2}(\mathrm{m}/\mathrm{s}) $ $ -300,\mathrm{ }300 $
    输入信噪比$ \mathrm{S}\mathrm{N}\mathrm{R}\left(\mathrm{d}\mathrm{B}\right) $ 0
    输入信干比$ \mathrm{S}\mathrm{J}\mathrm{R}\left(\mathrm{d}\mathrm{B}\right) $ $ -20 $
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-08-30
  • 修回日期:  2023-11-14
  • 网络出版日期:  2023-12-05
  • 刊出日期:  2024-02-28

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