北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (7): 1387-1394.doi: 10.13700/j.bh.1001-5965.2016.0500

• 论文 • 上一篇    下一篇

基于微多普勒的空间锥体目标微动分类

束长勇1, 张生俊2, 黄沛霖1, 姬金祖1   

  1. 1. 北京航空航天大学 航空科学与工程学院, 北京 100083;
    2. 试验物理与计算数学国家重点实验室, 北京 100076
  • 收稿日期:2016-06-12 修回日期:2016-09-30 出版日期:2017-07-20 发布日期:2016-11-14
  • 通讯作者: 姬金祖,E-mail:jijinzu@buaa.edu.cn E-mail:jijinzu@buaa.edu.cn
  • 作者简介:束长勇 男,博士研究生。主要研究方向:雷达信号处理及目标识别;张生俊 男,博士,研究员。主要研究方向:新型光电材料与器件、等离子体技术研究、隐身预研研究;黄沛霖 男,博士,副教授。主要研究方向:飞行器隐身设计、飞行器总体设计;姬金祖 男,博士,讲师。主要研究方向:飞行器隐身设计、电磁计算和测试。

Micro-motion classification of spatial cone target based on micro-Doppler

SHU Changyong1, ZHANG Shengjun2, HUANG Peilin1, JI Jinzu1   

  1. 1. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
    2. National Key Laboratory on Test Physics & Numerical Mathematics, Beijing 100076, China
  • Received:2016-06-12 Revised:2016-09-30 Online:2017-07-20 Published:2016-11-14

摘要: 空间锥体目标在飞行时存在多种微动,具体可分为章动、进动及自旋,准确获取目标微动形式是弹道目标微动及结构参数估算的前提。首先分析了3种微动形式下锥体目标锥顶及锥底滑动型散射源微多普勒及其频谱分布特性,发现自旋锥体目标散射源微多普勒为0 Hz,章动锥体目标任意散射源微多普勒谱的峰值非等间距分布,进动锥体目标任意散射源微多普勒谱的峰值等间距分布。据此提出利用微多普勒阈值识别自旋、利用微多普勒谱峰值是否等间距分布识别章动和进动的分类方法。最后通过仿真说明了本文分类方法的有效性,可为空间锥体目标微动分类提供一定的参考。

关键词: 空间锥体目标, 微动分类, 微多普勒谱, 强散射源, 特征提取

Abstract: There are many kinds of micro-motion in the spatial cone target in flight, which can be divided into nutation, precession and spinning. Accurate acquisition of the target's micro-motion form is the premise for the estimation of the micro-motion and the structural parameters of the ballistic target. First, the micro-Doppler distribution characteristics and the spectrum distribution characteristics of the cone target's cone node and cone bottom slip-type scattering source under the three micro-motions are analyzed, and it is found out that the micro-Doppler of spinning cone target's scattering source is 0 Hz, the micro-Doppler spectrum's peak value of nutation cone target's arbitrary scattering source is non-equidistantly distributed, and the micro-Doppler spectrum's peak value of precession cone target's arbitrary scattering source is equidistantly distributed. Base on this, the paper proposes the classification method, which recognizes the spinning cone target by the threshold of micro-Doppler and recognizes the nutation or precession cone target by judging whether micro-Doppler spectrum's peak value is equidistantly distributed or non-equidistantly distributed. Finally, the validity of the classification method is illustrated by simulation, which can provide reference for the micro-motion classification of spatial cone target.

Key words: spatial cone target, micro-motion classification, micro-Doppler spectrum, strong scattering sources, feature extraction

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