多干扰源下多站雷达抗欺骗式干扰方法
Deception ECCM for multiple jammer sources in distributed multiple radar systems
  
DOI:
中文关键词:  多站雷达系统;欺骗式干扰;多干扰源组网;相关系数;假目标鉴别
英文关键词:distributed multiple radar system; deception jamming; network jammer; correlation coefficient; false target discrimination
基金项目:国家自然科学基金(61801233,61801445)、江苏省自然科学基金(BK20170911)、航空科学基金(202000200X9002)和江苏省“六大人才高峰”第十六批高层次人才选拔培养(DZXX 025)资助项目
作者单位
赵珊珊 南京邮电大学 电子与光学工程学院,江苏 南京 210023 
易民举 南京邮电大学 电子与光学工程学院,江苏 南京 210023 
刘子威 南京邮电大学 通信与信息工程学院,江苏 南京 210003 
杨 彪 南京邮电大学 电子与光学工程学院,江苏 南京 210023 
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中文摘要:
      通过将多部干扰机链接组网,欺骗式干扰可大幅提高其干扰能力,对雷达性能构成了致命威胁。然而,现有的多站雷达抗欺骗式干扰方法大多仅适用于单一干扰源的情况。针对此问题,提出一种多干扰源场景下利用目标接收信号矢量之间的相关性进行真假目标鉴别的方法。由于同一个干扰机产生的假目标是高度相关的,而雷达真实目标之间、真实目标与假目标之间,以及不同干扰机产生的假目标之间均是不相关的,利用这一差异可设计目标鉴别算法对多干扰源产生的欺骗式假目标进行有效鉴别。提出算法的优势在于可用于鉴别任意调制方式产生的假目标,且不需要任何先验信息。仿真结果验证了该鉴别方法的可行性,并分析了雷达目标空间相关性、干噪比(JNR)和门限对其性能的影响。
英文摘要:
      Deception jamming poses a fatal threat to the radar performance, and its jamming performance has been greatly improved through networking. However, available deception electronic counter countermeasure (ECCM) methods can only work in the scenario of single jamming source. To solve the problem, this paper proposes a deception jamming discrimination method applicable to multiple jammer sources. It is based on the correlation coefficient between different received signal vectors. The false targets generated by one jammer are highly correlated, while the radar target is uncorrelated with either other targets or false targets. According to this difference, the target discrimination method can be designed to discriminate the false targets generated by multiple jammers. More importantly, compared with existing methods, no prior information is required, and the proposed method can be used to discriminate false targets generated by the arbitrary modulation mode. Simulation results demonstrate the feasibility of the proposed discrimination method. The simulation also investigates the influences of spatial correlation of radar targets, the jamming to noise ratio (JNR), and thresholds on the performance of the proposed method.
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