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弹箭与制导学报 >

2010 , Vol. 30 >Issue 3: 148 - 150

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2010.03.058

相关技术

低信噪比条件下雷达目标微多普勒信息提取

  • 许世军 ,
  • 罗迎 ,
  • 陈天平
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  • 1 西北工业大学第 365 研究所,西安 710072
    2 空军工程大学电讯工程学院,西安 710077

许世军(1956-),男,陕西兴平人,高级工程师,研究方向:无线电测控技术的研究。

收稿日期: 2009-07-07

  网络出版日期: 2025-05-28

基金资助

国家自然科学基金(60672032);陕西省自然科学基础研究计划项目(2007F28)资助

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Extraction of Micro-Doppler Information with Low Signal-to-noise Ratio

  • XU Shijun ,
  • LUO Ying ,
  • CHEN Tianping
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  • 1 No.365 Research Institute, Northwestern Polytechnical University, Xi'an 710072, China
    2 The Telecommunication Engineering Institute, Air Force Engineering University, Xi'an 710077, China

Received date: 2009-07-07

  Online published: 2025-05-28

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摘要

为了实现目标的分类、识别与成像,须研究其微多普勒效应。微多普勒信号通常被目标主体信号淹没,给微动特征的准确提取带来了困难。研究了低信噪比条件下由目标部件旋转引起的微多普勒信息的提取问题,提出了基于谱图域的目标主体信号剔除和微多普勒特征参数提取方法。仿真实验表明:在信噪比为-50dB条件下,该方法仍能取得较好的效果。

关键词： 微多普勒; 低信噪比; Hough 变换; 目标识别

本文引用格式

许世军 , 罗迎 , 陈天平 . 低信噪比条件下雷达目标微多普勒信息提取[J]. 弹箭与制导学报, 2010 , 30(3) : 148 -150 . DOI: 10.15892/j.cnki.djzdxb.2010.03.058

Abstract

To realize the target classification, recognition and imagery, it is necessary to research its micro-Doppler (m-D) effect. The m-D signals are usually submerged by strong body echoes. In this paper, extraction of m-D information under the condition of low signal-to-noise ratio (SNR) was studied. An algorithm for elimination of body's signals and extraction of m-D features in the "spectrogram" domain was proposed. The simulation shows the method is satisfactory even with SNR=-50dB.

Key words： micro-Doppler; low signal-to-noise ratio; Hough transform; target recognition

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