系统工程与电子技术 ›› 2018, Vol. 40 ›› Issue (10): 2207-2215.doi: 10.3969/j.issn.1001-506X.2018.10.08

• 传感器与信号处理 • 上一篇    下一篇

基于多特征的密集假目标干扰融合识别与抑制

孙殿星1,2,3, 陈翔1, 万建伟2, 王国宏3, 吴巍3


  

  1. 1. 电子信息系统复杂电磁环境效应国家重点实验室, 河南 洛阳 471003;
    2. 国防科技大学电子科学学院, 湖南 长沙 410073;
    3. 海军航空大学信息融合研究所, 山东 烟台 264001
  • 出版日期:2018-09-25 发布日期:2018-10-10

Fusion identification and suppression technique against concentrated false targets jamming based on multiple features#br#

SUN Dianxing1,2,3, CHEN Xiang1, WAN Jianwei2, WANG Guohong3, WU Wei3   

  1. 1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and
    Information System, Luoyang 471003, China; 2. College of Electronic Science, National
    University of Defense Technology, Changsha 410073, China; 3. Institute of Information Fusion,
    Naval Aviation University, Yantai 264001, China
  • Online:2018-09-25 Published:2018-10-10

摘要: 密集假目标干扰通过产生大量虚假回波扰乱雷达对真实目标的有效检测和识别,由于虚假回波信号与真实信号的高度相关性,雷达很难对其进行有效识别和抑制。针对该问题,提出了基于信号数据多特征的脉冲多普勒雷达密集假目标干扰融合识别与抑制技术,通过速度量测统计分布特征提取、峰值邻域谱线抑制、谱线分布信号幅度基本概率赋值构建及D-S证据理论融合判别实现了干扰的识别与抑制,仿真验证了该方法的有效性。

Abstract: Target detection and identification are disrupted by concentrated false targets jamming for the plenty of false echoes.It is difficult for radar to identify and suppress the false signals because of the high correlativity between false signals and the true ones. In the presence of that problem, the fusion identification and suppression technique against false targets jamming is proposed based on the features of signals and data. And the concentrated false target signal is identified and suppressed depending on statistical distribution feature extraction of velocity measurements, spectral line suppression in peak neighborhood, basic probability assignment (BPA) construction based on spectral line distribution and signal amplitude, and fusion identification based on D-S evidence theory. Simulation results verify the validity of the proposed technique.