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ABORT-like detector to combat active deceptive jamming in a network of LFM radars

机译:类似于ABORT的探测器,可应对LFM雷达网络中的主动欺骗性干扰

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摘要

This paper studies an electronic counter-counter measures (ECCM) scheme combating against deceptive electronic counter measure (ECM) techniques.An adaptive detector exploiting generalized likelihood ratio test (GRLT) criterion is applied to detect the presence of deceptive jamming in fractional Fourier transform (FrFT) domain.First,the generating mechanism of spurious frequencies is analyzed based on the Volterra serial.The proposed nonlinear distortion model based on power amplifier behavior is robust in distortion analysis when the memory effect is considered.Second,a modified adaptive beamformer orthogonal rejection test (ABORT) like detector in closed form is built.The proposed detector can discriminate the echo and deceptive jamming adaptively by exploiting primary data and secondary data.This ECCM scheme is capable of guaranteeing the performance without the restriction of orthogonality,which is essential for the ABORT detectors.The expansion to radar network is discussed as a special case at the final part of this paper.Numerical simulations demonstrate the effectiveness of the proposed method.
机译:本文研究了一种对抗欺骗性电子对抗措施(ECM)技术的电子对抗措施(ECCM)方案。采用利用广义似然比测试(GRLT)准则的自适应检测器来检测分数阶傅里叶变换中欺骗性干扰的存在(首先,基于Volterra序列分析了杂散频率的产生机理。在考虑记忆效应的情况下,提出的基于功率放大器行为的非线性失真模型在失真分析方面具有鲁棒性。第二,一种改进的自适应波束形成器正交抑制这种检测器可以通过利用原始数据和辅助数据来自适应地区分回波和欺骗性干扰。这种ECCM方案能够在不受正交性限制的情况下保证性能,这对于讨论了扩展到雷达网络的问题数值仿真证明了该方法的有效性。

著录项

  • 来源
    《中国航空学报(英文版)》 |2017年第4期|1538-1547|共10页
  • 作者单位

    School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;

    School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;

    School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;

    School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2024-01-27 05:25:52
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