一种分数阶域的密集假目标干扰抑制算法

张亮 1; 2; 王国宏 1; 张顺义 2; 张翔宇 1; 孙殿星 3; 李思文 1

doi:10.7652/xjtuxb202012010

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一种分数阶域的密集假目标干扰抑制算法

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- 一种分数阶域的密集假目标干扰抑制算法
- An Algorithm for Suppressing Jamming of Dense False Targets in Fractional Fourier Transform Domain
- 西安交通大学学报 2020年54卷第12期页码：79-87
- 作者机构：
  
  1. 海军航空大学信息融合研究所,山东,烟台,264001
  2. 中国人民解放军94326部队,济南,250000
- 作者简介：
- 基金信息：
  
  : 2020-06-07。作者简介: 张亮(1987—),男,博士生;王国宏(通信作者),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(61731023,61701519);山东省“泰山学者”攀登计划专项资金资助项目
- DOI：10.7652/xjtuxb202012010
  中图分类号： TN958
- 网络首发：2020-12-10，
  
  纸质出版：2020
- 稿件说明：
移动端阅览
张亮 1, 2, 王国宏 1, 等. 一种分数阶域的密集假目标干扰抑制算法[J]. 西安交通大学学报, 2020,54(12):79-87.

An Algorithm for Suppressing Jamming of Dense False Targets in Fractional Fourier Transform Domain[J]. 2020, 54(12): 79-87.
张亮 1, 2, 王国宏 1, 等. 一种分数阶域的密集假目标干扰抑制算法[J]. 西安交通大学学报, 2020,54(12):79-87. DOI： 10.7652/xjtuxb202012010.

An Algorithm for Suppressing Jamming of Dense False Targets in Fractional Fourier Transform Domain[J]. 2020, 54(12): 79-87. DOI： 10.7652/xjtuxb202012010.

摘要

针对线性调频(LFM)相参雷达抗自卫式密集假目标干扰问题

提出一种分数阶域的密集假目标干扰抑制算法。雷达遭受干扰后

首先发射调频斜率捷变LFM(SV-LFM)波形

得到1个相干处理间隔回波; 其次

最大高阶矩准则估计各脉冲重复周期干扰调频斜率

确定分数阶傅里叶变换(FRFT)最优阶次; 然后

计算回波最优阶次FRFT

通过峰值遮盖滤除部分干扰; 最后

对滤除干扰后的回波进行脉冲压缩、相参积累

最终实现干扰抑制。对于发射SV-LFM波形的雷达

其脉冲压缩、相参积累本身对密集假目标干扰具有一定抑制作用

结合干扰滤除处理

能够取得更佳抑制效果。实验结果表明

所设计的变带宽SV-LFM波形与雷达动目标检测具备较高兼容性

相比理想不捷变

真实目标有效检测临界信噪比小于1 dB; 所提算法对干扰抑制后的真实目标有效检测临界干信比提高约20 dB

假目标数量减少约40%。

Abstract

An algorithm for suppressing jamming in the fractional Fourier transform(FRFT)domain is proposed to solve the problem of self-screening dense false target jamming in linear frequency modulation(LFM)coherent radar. Firstly

when LFM radar is jammed

slope varying LFM(SV-LFM)waveform is transmitted to obtain a coherent processing interval echo. Then

the maximum high-order moment criterion is used to estimate the jamming slope in each pulse repetition period and determine the optimal order of FRFT. The optimal order FRFT of the echo is calculated

and the FRFT peak value covers and filters out part of the jamming. Finally

pulse compression and coherent integration are carried out for the filtered echo to realize the final suppression of jamming. For the radar of SV-LFM waveform

the processing of pulse compression and coherent integration have certain suppression effects on dense false targets

and better suppression effect can be achieved by combining with jamming filtering. Experimental results show that SV-LFM with variable bandwidth has higher compatibility with radar moving target detection

and the critical signal to noise ratio of real target detection is less than 1 dB

compared to ideal non-agility case. After jamming suppression

the critical jamming to signal ratio increases by about 20 dB

and the number of false targets reduces by about 40%.

关键词

Keywords

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