北京航空航天大学学报 ›› 2018, Vol. 44 ›› Issue (6): 1176-1184.doi: 10.13700/j.bh.1001-5965.2017.0421

• 论文 • 上一篇    下一篇

基于干扰重构和峭度最大化的SMSP干扰抑制方法

李欣1, 王春阳1, 原慧1, 金珊珊2   

  1. 1. 空军工程大学 防空反导学院, 西安 710051;
    2. 中国人民解放军 95169部队, 南宁 530031
  • 收稿日期:2017-06-21 出版日期:2018-06-20 发布日期:2018-06-28
  • 通讯作者: 王春阳.E-mail:Wcy_kgd_cn@163.com E-mail:Wcy_kgd_cn@163.com
  • 作者简介:李欣 男,博士研究生。主要研究方向:雷达抗干扰技术、雷达信号处理技术;王春阳 男,博士,教授,博士生导师。主要研究方向:综合电子战理论与技术;原慧 女,博士研究生。主要研究方向:雷达抗干扰技术、单通道盲信号分离技术;金珊珊 女,硕士,助理工程师。主要研究方向:雷达抗干扰技术。
  • 基金资助:
    国家自然科学基金(61601502,61501500);航空科学基金(20150196007)

SMSP jamming suppression method based on jamming reconstruction and kurtosis maximum

LI Xin1, WANG Chunyang1, YUAN Hui1, JIN Shanshan2   

  1. 1. Air and Missile Defence College, Air Force Engineering University, Xi'an 710051, China;
    2. Unit 95169 of the People's Liberation Army of China, Nanning 530031, China
  • Received:2017-06-21 Online:2018-06-20 Published:2018-06-28

摘要: 频谱弥散(SMSP)干扰是一种针对线性调频(LFM)信号的相参压制干扰。根据SMSP干扰子脉冲的周期特性,提出了一种基于干扰重构和峭度最大化的干扰抑制方法。首先,利用自相关方法估计干扰子脉冲的周期,并根据干扰的产生原理确定子脉冲调频斜率,即可重构相位未知的干扰子脉冲;其次,对重构的干扰子脉冲分别设定不同的相位,并与接收信号做共轭相乘,根据相乘的结果确定干扰信号的初相位;最后,利用峭度最大化原理,确定干扰抑制因子,实现干扰抑制。仿真结果表明,本文方法能够有效实现干扰抑制,经过干扰抑制后的信干比可达20 dB以上,并且在存在噪声和相位误差的情况下,仍能够保持较高的信干噪比增益。

关键词: 频谱弥散(SMSP)干扰, 干扰重构, 自相关方法, 峭度最大化, 脉冲压缩

Abstract: Smeared spectrum (SMSP) jamming is a kind of correlative blanket jamming to linear frequency modulation (LFM) signals. According to the periodicity of SMSP jamming sub-pulse, a jamming suppression method based on jamming reconstruction and kurtosis maximum is proposed. Firstly, the period of sub-pulse is estimated by utilizing the autocorrelation method, and the frequency modulation rate is computed based on the principle of SMSP jamming. Then we can reconstruct each jamming sub-pulse while the phase is still unknown. Secondly, each reconstructed sub-pulse is set with different phase, and then the conjugate multiplication between received signal and reconstructed signal is done. The initial phase of jamming signal can be achieved by analyzing the result of conjugate multiplication. Finally, the jamming suppression factor is computed based on the kurtosis maximum and then the jamming can be suppressed. The simulation results show that the proposed method can suppress SMSP jamming efficiently, the SIR can be more than 20 dB after jamming suppression, and it can maintain high signal-to-interference and noise ratio gain even when the noise and phase error exist.

Key words: smeared spectrum (SMSP) jamming, jamming reconstruction, autocorrelation method, kurtosis maximum, pulse compression

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