基于微多普勒的空间锥体目标微动分类

束长勇; 张生俊; 黄沛霖; 姬金祖

doi:10.13700/j.bh.1001-5965.2016.0500

基于微多普勒的空间锥体目标微动分类

doi: 10.13700/j.bh.1001-5965.2016.0500

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

详细信息

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

通讯作者:
姬金祖, E-mail:jijinzu@buaa.edu.cn

中图分类号: TN953
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出版历程
- 收稿日期: 2016-06-12
- 录用日期: 2016-09-30
- 网络出版日期: 2017-07-20

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

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

More Information

Corresponding author: JI Jinzu, E-mail:jijinzu@buaa.edu.cn

摘要

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。
- 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.
- spatial cone target /
- micro-motion classification /
- micro-Doppler spectrum /
- strong scattering sources /
- feature extraction

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图 1 空间锥体目标微动模型

Figure 1. Micro-motion model of spatial cone target

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图 2 基于微多普勒的微动目标分类方法流程图

Figure 2. Flow chart of micro-motion target classification method based on micro-Doppler

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图 3 章动目标散射源微多普勒脊线及其微多普勒谱

Figure 3. Micro-Doppler ridge and micro-Doppler spectrum of scattering sources of nutation target

下载: 全尺寸图片幻灯片

图 4 进动目标散射源微多普勒脊线及其微多普勒谱

Figure 4. Micro-Doppler ridge and micro-Doppler spectrum of scattering sources of precession target

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图 5 自旋目标散射源微多普勒脊线及其微多普勒谱

Figure 5. Micro-Doppler ridge and micro-Doppler spectrum of scattering sources of spinning target

下载: 全尺寸图片幻灯片

图 6 章动目标、进动目标及自旋目标微多普勒脊线提取

Figure 6. Micro-Doppler ridge extraction of nutation target, precession target and spinning target

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图 7 各类微动锥体目标的识别率随信噪比的变化

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表 1 不同微动下锥体目标强散射源微多普勒谱谱线峰值位置

Table 1. Micro-Doppler spectrum's peak position of strong scattering source of cone target under different micro-motions

微动形式	谱线峰值位置/Hz
微动形式	锥顶散射源	锥底滑动型散射源
自旋	无峰值	无峰值
进动	f_φ	nf_φ
章动	nf_θ±f_φ, nf_θ	mf_θ±nf_φ

下载: 导出CSV

表 2 微动仿真参数设置范围

Table 2. Micro-motion simulation parameter setting range

微动形式	f_φ/Hz	φ/(°)	f_θ/Hz	θ₀/(°)	θ₁/(°)	θ₂/(°)	α/(°)
自旋		0~360		5~20			0~180
进动	0.3~1.5	0~360		5~20			0~180
章动	0.3~1.5	0~360	0.4~1.2	5~20	0~360	0~180	0~180

下载: 导出CSV

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