系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (5): 1583-1598.doi: 10.12305/j.issn.1001-506X.2024.05.13

• 传感器与信号处理 • 上一篇    

脉内频率-时延捷变雷达抗间歇采样转发干扰方法

牛闯1, 林强1,*, 段敏1, 施端阳1,2, 谷成刚1   

  1. 1. 空军预警学院, 湖北 武汉 430019
    2. 中国人民解放军95174部队, 湖北 武汉 430040
  • 收稿日期:2022-11-24 出版日期:2024-04-30 发布日期:2024-04-30
  • 通讯作者: 林强
  • 作者简介:牛闯(1999—), 男, 硕士研究生, 主要研究方向为预警装备运用
    林强(1971—), 男, 教授, 博士生导师, 博士, 主要研究方向为预警装备运用
    段敏(1979—), 女, 副教授, 博士, 主要研究方向为雷达工程
    施端阳(1992—), 男, 助理工程师, 博士研究生, 主要研究方向为预警装备发展论证
    谷成刚(1991—), 男, 硕士, 主要研究方向为预警装备管理与保障

Anti-interrupted sampling and repeater jamming method for intra-pulse frequency and time delay agile radar

Chuang NIU1, Qiang LIN1,*, Min DUAN1, Duanyang SHI1,2, Chenggang GU1   

  1. 1. Air Force Early Warning Academy, Wuhan 430019, China
    2. Unit 95174 of the PLA, Wuhan 430040, China
  • Received:2022-11-24 Online:2024-04-30 Published:2024-04-30
  • Contact: Qiang LIN

摘要:

间歇采样转发干扰凭借快速准确的采样和转发手段, 利用脉压雷达的匹配滤波特性形成假目标群, 严重影响目标检测和跟踪性能。针对这一问题, 结合波形设计和滤波思想, 设计一种脉内频率-时延捷变波形, 并在此基础上提出一种基于时频分析的抗间歇采样转发干扰方法。首先, 将线性调频信号划分为多个子脉冲, 并在子脉冲之间增加随机时延。然后, 提取未被干扰的子脉冲进行目标位置的准确判断, 结合子脉冲的频率和随机时延等先验信息, 利用迭代阈值分割算法去除强干扰信号。最后, 通过构造时频域和时域带通滤波器分别进行子脉冲滤波和时域滤波处理。仿真实验结果表明, 所提方法在不同干信比、信噪比和非同步采样情况下具有较好的抗间歇采样转发干扰性能。

关键词: 间歇采样转发干扰, 波形设计, 时频分析, 迭代阈值分割算法

Abstract:

Utilizing fast and accurate sampling and forwarding, interrupted sampling and repeater jamming forms false target groups by using the matching filtering characteristics of pulse pressure radar, which seriously affects the performance of target detection and tracking. To solve this problem, an intra-pulse frequency-time-delay agile waveform is designed by combining waveform design and filtering. On this basis, an anti-interrupted sampling and repeater jamming method based on time-frequency analysis is proposed. Firstly, the linear frequency modulation (LFM) signal is divided into multiple sub-pulses, and the random time delay is added between the sub-pulses. Then, the undisturbed sub-pulse is extracted to judge the target location accurately. Combined with the prior information such as the sub-pulses frequency and random time delay, the iterative threshold segmentation algorithm is used to remove the intense jamming signal. Finally, sub-pulse filtering and time-domain filtering are processed by constructing time-frequency and time-domain bandpass filters respectively. Simulation results show that the proposed method has good interrupted sampling and repeater jamming performance under different jamming to signal ratio, signal to noise ratio, and asynchronous sampling conditions.

Key words: interrupted sampling and repeater jamming, waveform design, time frequency analysis, iterative threshold segmentation algorithm

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