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

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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。

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	束长勇
	张生俊
	黄沛霖
	姬金祖

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

收稿日期: 2016-06-12 出版日期: 2016-11-14

PACS:

TN953

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。

引用本文:

束长勇, 张生俊, 黄沛霖, 姬金祖. 基于微多普勒的空间锥体目标微动分类[J]. 北京航空航天大学学报, 2017, 43(7): 1387-1394.
SHU Changyong, ZHANG Shengjun, HUANG Peilin, JI Jinzu. Micro-motion classification of spatial cone target based on micro-Doppler. JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2017, 43(7): 1387-1394.

链接本文:

http://bhxb.buaa.edu.cn/CN/10.13700/j.bh.1001-5965.2016.0500 或 http://bhxb.buaa.edu.cn/CN/Y2017/V43/I7/1387

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