Micro-motion feature extraction of narrow-band radar target based on ROMP

Chen Shuai; Feng Cunqian; Xu Xuguang

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Micro-motion feature extraction of narrow-band radar target based on ROMP

机译：基于ROMP的窄带雷达目标微动特征提取

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摘要

In this study, a new method based on regularised orthogonal matching pursuit (ROMP) decomposition is proposed to extract the feature of the ballistic target's rotating micro-motion. Based on the establishment of the ballistic target rotation model, the general model of target's narrowband radar echo is obtained. An over-complete dictionary of atoms is established by combining the intrinsic characteristics of the signal model, and the selection of the matched atoms is carried out according to the regularisation principle. The extraction of the target's rotating micro-motion feature and the reconstruction of the original signal are realised. Simulation results show that the method can extract the micro-motion feature efficiently and accurately

机译：在该研究中，提出了一种基于正则正交匹配追踪（ROMP）分解的新方法以提取弹道目标旋转微观运动的特征。基于建立弹道目标旋转模型，获得了目标窄带回波的一般模型。通过组合信号模型的内在特征来建立一个完整的原子字典，并且根据正则化原理来执行匹配原子的选择。实现了目标旋转微观运动特征的提取和原始信号的重建。仿真结果表明，该方法可以有效且准确地提取微观运动功能

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来源
《The Journal of Engineering》 |2019年第21期|7860-7863|共4页
作者
Chen Shuai; Feng Cunqian; Xu Xuguang;
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作者单位

Air Force Engn Univ Grad Coll Xian Shaanxi Peoples R China;

Air Force Engn Univ Air & Missile Def Coll Xian Shaanxi Peoples R China;

Air Force Engn Univ Grad Coll Xian Shaanxi Peoples R China;

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正文语种 eng
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关键词
radar target recognition; radar imaging; ballistics; time-frequency analysis; iterative methods; feature extraction; echo; signal model; matched atoms; regularisation principle; micromotion feature extraction; narrow-band radar target; ROMP; regularised orthogonal matching pursuit decomposition; ballistic target rotation model;

机译：雷达目标;雷达成像;弹性分析;迭代方法;特征提取;回声;信号模型;匹配原子;正规化原理;微调特征提取;窄带雷达目标;romm;正规化的正交匹配追求分解;弹道目标旋转模型;

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专利

1. Micro-motion feature extraction of target in inverse synthetic aperture radar imaging with sparse aperture [J] . Luo Y., Zhang Q., Qiu C., Journal of Electromagnetic Waves and Applications . 2013,第14期

机译：稀疏孔径逆合成孔径雷达成像中目标的微动特征提取
2. Micro-motion feature extraction of space targets based on sinusoidal frequency modulation Fourier transform [J] . Hu Jian, Luo Ying, Zhang Qun, . 2019,第21期

机译：基于正弦频调制傅立叶变换的空间目标微动特征提取
3. Automatic classification of radar targets with micro-motions using entropy segmentation and time-frequency features [J] . Lei P., Wang J., Guo P., AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication . 2011,第10期

机译：利用熵分割和时频特征对具有微动的雷达目标进行自动分类
4. Research on Micro-motion Target Feature Extraction Based on Inverse Synthetic Aperture Laser Radar [C] . LIU Zheng, MAO Hongxia, WANG Ran, International Symposium on Optoelectronic Technology and Application . 2018

机译：基于逆合成孔径激光雷达的微动目标特征提取研究
5. Wavelet feature extraction of high-range resolution radar profiles using generalized Gaussian distributions for automatic target recognition. [D] . De Pass, Monica Mary. 2006

机译：使用广义高斯分布的小波特征提取高分辨雷达轮廓，以实现自动目标识别。
6. Three-Dimensional Micro-Motion Feature Extraction of the Vibrating Target Based on Multi-Channel Radar in the Terahertz Band [O] . Bin Tang, Qi Yang, Ye Zhang, 2020

机译：太赫兹频带中基于多通道雷达的振动目标三维微动特征提取
7. Micro-motion Signature Extraction Method for Wideband Radar Based on Complex Image OMP Decomposition [O] . Luo Ying, Zhang Qun, Wang Guo-zheng, 2012

机译：基于复图像Omp分解的宽带雷达微动特征提取方法
8. Synthetic Aperture Radar Target Detection, Feature Extraction, and Image [R] . Li, J. 1994

机译：合成孔径雷达目标检测，特征提取和图像

Micro-motion feature extraction of narrow-band radar target based on ROMP

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