Radar micro-Doppler mini-UAV classification using spectrograms andn   cepstrograms

Harmanny Ronny I. A.; de Wit Jacco J. M.; Premel-Cabic Gilles

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Radar micro-Doppler mini-UAV classification using spectrograms andn cepstrograms

机译：使用频谱图和倒谱图对雷达微多普勒微型无人机进行分类

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The radar micro-Doppler signature of a target is determined by parts of the target moving or rotating in addition to the main body motion. The relative motion of these parts is characteristic for different classes of targets, e.g. the flapping motion of a bird's wings versus the spinning of propeller blades. In the present study, the micro-Doppler signature is exploited to discriminate birds and small unmanned aerial vehicles (UAVs). Emphasis is on micro-Doppler features that can be extracted fr

机译：目标的雷达微多普勒信号由除主体运动之外的其他部分移动或旋转确定。这些部分的相对运动对于不同类别的目标（例如目标）具有特征。鸟翅膀的拍打运动与螺旋桨叶片的旋转。在本研究中，微多普勒签名被用来区分鸟类和小型无人机（UAV）。重点是可以从中提取的微多普勒功能

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来源
《International Journal of Microwave and Wireless Technologies》 |2015年第4期|469-477|共9页
作者
Harmanny Ronny I. A.; de Wit Jacco J. M.; Premel-Cabic Gilles;
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作者单位

Thales Nederland BV, Sensors, Adv Dev, Delft, Netherlands.;

TNO, Dept Radar Technol, The Hague, Netherlands.;

Thales Nederland BV, Sensors, Adv Dev, Delft, Netherlands.;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Radar signal processing and system modeling; Radar applications;

机译：雷达信号处理与系统建模;雷达应用;

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1. Deep Learning for Classification of Mini-UAVs Using Micro-Doppler Spectrograms in Cognitive Radar [J] . Huizing Albert, Heiligers Matijs, Dekker Bastiaan, IEEE Aerospace and Electronic Systems Magazine . 2019,第11期

机译：在认知雷达中使用微多普勒频谱图对微型无人机的分类进行深度学习。
2. Classification of drones and birds using convolutional neural networks applied to radar micro-Doppler spectrogram images [J] . Rahman Samiur, Robertson Duncan A. Radar, Sonar & Navigation, IET . 2020,第5期

机译：使用卷积神经网络应用于雷达微多普勒谱图图像的无人机和鸟类的分类
3. Micro-Doppler Feature Extraction Based on Time-Frequency Spectrogram for Ground Moving Targets Classification With Low-Resolution Radar [J] . L. Du, L. Li, B. Wang, IEEE sensors journal . 2016,第10期

机译：基于时频频谱图的微多普勒特征提取低分辨雷达地面运动目标分类
4. Radar micro-Doppler feature extraction using the spectrogram and the cepstrogram [C] . Harmanny R.I.A., de Wit J.J.M., Cabic G.Premel European Radar Conference . 2014

机译：使用频谱图和倒谱图提取雷达微多普勒特征
5. High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification [D] . Cammenga, Zachary Andrew. 2017

机译：高分辨率微多普勒雷达理论及其在人体步态分类中的应用
6. A Deep-Learning Method for Radar Micro-Doppler Spectrogram Restoration [O] . Yuan He, Xinyu Li, Runlong Li, 2020

机译：雷达微多普勒谱图恢复的深度学习方法
7. A Deep-Learning Method for Radar Micro-Doppler Spectrogram Restoration [O] . Yuan He, Xinyu Li, Runlong Li, 2020

机译：雷达微多普勒谱图恢复的深度学习方法

Radar micro-Doppler mini-UAV classification using spectrograms andn cepstrograms

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