现代防御技术 ›› 2022, Vol. 50 ›› Issue (6): 97-102.DOI: 10.3969/j.issn.1009-086x.2022.06.012

• 目标特性与探测跟踪技术 • 上一篇    下一篇

基于频率估计和信号重构的移频干扰抑制方法

金珊珊1(), 李欣2, 刘晨2   

  1. 1.中国人民解放军95169部队,广西 南宁 530000
    2.中国人民解放军31203部队,广东 广州 510000
  • 收稿日期:2022-04-14 修回日期:2022-07-02 出版日期:2022-12-28 发布日期:2023-01-06
  • 作者简介:金珊珊(1989-),女,山东烟台人。助工,硕士,研究方向为雷达电子战及新技术。通信地址:530000 广西壮族自治区南宁市江南区友谊路90号E-mail:278186445@qq.com

Frequency Shift Interference Suppression Method Based on Frequency Estimation and Signal Reconstruction

Shan-shan JIN1(), Xin LI2, Chen LIU2   

  1. 1.PLA, No. 95169 Troop, Guangxi Nanning 530000, China
    2.PLA, No. 31203 Troop, Guangdong Guangzhou 510000, China
  • Received:2022-04-14 Revised:2022-07-02 Online:2022-12-28 Published:2023-01-06

摘要:

移频干扰针对线性调频信号的距离-多普勒耦合特性,能够产生高逼真的假目标。根据脉冲压缩后回波的峰值特性和去斜处理的原理,提出了基于信号重构和对消的抑制方法。首先,对去斜处理后的信号频率进行估计,并根据估计的频率,对去斜处理后的干扰信号进行重构;其次,对去斜处理后的信号,定义了归一化平均检测门限,并以归一化平均检测门限最小作为干扰抑制的目标函数;最后,通过全局搜索的方式计算得到归一化平均检测门限最小时对应的干扰抑制因子,并通过对消来实现干扰抑制。计算机仿真表明,输出信号的脉压结果中,剩余干扰分量的能量比目标回波低20 dB以上,体现了所提出方法可以有效实现对多次移频干扰的抑制。

关键词: 频率估计, 信号重构, 移频干扰, 干扰抑制因子, 归一化平均检测门限

Abstract:

Frequency shift interference can produce high fidelity false targets for the range-Doppler coupling characteristic of LFM signal. According to the peak characteristics of pulse echo by compression and the principle of dechirp, the interference suppression method based on signal reconstruction and cancellation is proposed. Firstly, the frequency of the signal by dechirp is estimated, and the dechirp interference signal is reconstructed. Secondly, the normalized average detection threshold is defined for the dechirp signal, and the minimum threshold is used as the objective function of interference suppression. Finally, the interference suppression factors corresponding to the minimum normalized average monitoring threshold are calculated by global search, and interference suppression is realized by cancellation. The simulation shows that the energy of residual interference component is more than 20 dB lower than that of target echo in the output signals by pulse compression, which shows the proposed method can suppress multi-frequency shift interference effectively.

Key words: frequency estimation, signal reconstruction, frequency shift interference, interference suppressor, normalized mean detection threshold

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