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弹箭与制导学报 >

2017 , Vol. 37 >Issue 3: 152 - 156

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2017.03.038

相关技术

基于时频图像纹理特征的雷达辐射源信号识别

  • 孟凡杰 ,
  • 唐宏 ,
  • 王义哲 ,
  • 刘俊杰
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  • 空军工程大学防空反导学院,西安 710051

孟凡杰(1992-),男,河南洛阳人,硕士研究生,研究方向:雷达信号处理。

收稿日期: 2016-06-07

  网络出版日期: 2025-05-28

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Radar Emitter Signal Recognition Based on Texture Feature of Time-Frequency Image

  • MENG Fanjie ,
  • TANG Hong ,
  • WANG Yizhe ,
  • LIU Junjie
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  • Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received date: 2016-06-07

  Online published: 2025-05-28

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摘要

为了解决低信噪比条件下雷达辐射源信号识别率低的问题,提出了一种提取时频图像纹理特征的脉内调制方式识别方法。该算法首先对信号进行Choi-Williams变换,在对时频图进行预处理后提取其改进的局部二值模式纹理特征(LBPV),并用支持向量机进行分类判别。使用6种典型雷达信号进行仿真实验,仿真结果表明在-2dB的低信噪比条件下该方法的平均识别率可达95%以上,局部二值模式算子在低信噪比下的识别能力得到大的提高。

关键词： 雷达辐射源信号识别; Choi-Williams 分布; 局部二值模式; 纹理特征

本文引用格式

孟凡杰 , 唐宏 , 王义哲 , 刘俊杰 . 基于时频图像纹理特征的雷达辐射源信号识别[J]. 弹箭与制导学报, 2017 , 37(3) : 152 -156 . DOI: 10.15892/j.cnki.djzdxb.2017.03.038

Abstract

To solve the problem of low rate in radar emitter signal recognition under low SNR, a new approach using texture feature of time-frequency image for recognition of intra-pulse modulation is proposed. At first, the time-frequency images of radar emitter signals are obtained by Choi-Williams transform, and then the noise reduction and normalization of these images are processed. After that, the improved arithmetic of LBPV is used to extract the features of time-frequency images. At last, the support vector machine is used for classification and discrimination. In this paper, six kinds of common radar signals are used in simulation experiments. The results show that the average recognition rate can reach 95% when the SNR is as low as 2 dB.

Key words： radar emitter signal recognition; CWD; LBP; texture features

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