[1]鲁逸杰,宫志华,张群,等.基于变分模态分解的进动目标微多普勒特征提取方法[J].探测与控制学报,2019,41(04):30.[doi:.]
 LU Yijie,GONG Zhihua,ZHANG Qun,et al.A Variational Mode Decomposition Based Micro-Doppler Characteristics Extraction Method of Precession-Cone Target[J].,2019,41(04):30.[doi:.]
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基于变分模态分解的进动目标微多普勒特征提取方法()
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《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
41
期数:
2019年04
页码:
30
栏目:
出版日期:
2019-08-26

文章信息/Info

Title:
A Variational Mode Decomposition Based Micro-Doppler Characteristics Extraction Method of Precession-Cone Target
文章编号:
1008-1194(2019)04-0030-06
作者:
鲁逸杰1宫志华2张群1王剑钦3李开明1
1.空军工程大学信息与导航学院,陕西 西安 710077;2.中国人民解放军63850部队,吉林 白城 137001;3.中国人民解放军95333部队,湖南 长沙 410114
Author(s):
LU Yijie1 GONG Zhihua2 ZHANG Qun1 WANG Jianqin3 LI Kaiming1
1. College of Information and Navigation, Air Force Engineering University, Xi’an, Shaanxi 710077, China;2. Unit 63850 of PLA, Baicheng 137001,China; 3. Unit 95333 of PLA, Changsha 410114, China
关键词:
进动锥体目标变分模态分解(VMD)特征提取
Keywords:
precession cone target variational mode decomposition (VMD) feature extraction
分类号:
TN953
DOI:
.
文献标志码:
A
摘要:
针对在低信噪比条件下微动特征不能有效提取的问题,提出基于变分模态分解(VMD)的微多普勒特征分析方法。该方法对Gabor时频分布结果进行高斯平滑滤波处理并结合VMD将微动曲线分解成若干独立曲线,由分解得到的曲线结合其微多普勒曲线特征来估计目标的自旋频率和锥旋频率。仿真结果表明,该方法能够在低信噪比条件下将目标的微动曲线分解成若干独立曲线,并获得其微动频率。
Abstract:
To address the matter of inadequate anti-noise performance in extracting micro-motion feature, a novel method was proposed based on Variational Mode Decomposition (VMD). The Gabor time-frequency distribution results were processed by Gabor smoothing filter and decomposed into several independent curves by VMD. The spin frequency and cone-spin frequency of the target were estimated by the decomposed curves combined with their micro-Doppler curve characteristics. Simulation results proved that the method could decompose the fretting curve of the target into several independent curves under the condition of low signal-to-noise ratio and obtain fretting frequency.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-02-09
基金项目:国家自然科学基金项目资助(61701530);中国博士后科学基金项目资助(2017M623421)
作者简介:鲁逸杰(1993—),男,陕西西安人,硕士研究生,研究方向:雷达信号处理。E-mail:17795834074@163.com
更新日期/Last Update: 2019-09-12