Millimeter-wave radar micro-Doppler feature extraction of consumer drones and birds for target discrimination
Millimeter-wave radar micro-Doppler feature extraction of consumer drones and birds for target discrimination
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消费型无人机和鸟类的毫米波雷达微多普勒特征提取用于目标辨别
DOI：
10.1117/12.2518846
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Rahman S
中科院分区：
文献类型：
--
作者：
Rahman S
本文讨论了各种毫米波雷达微多普勒特征的消费者无人机和鸟类，可以馈送到一个分类器的目标歧视。所提出的特征提取方法已被开发，考虑到微多普勒特征的飞行中的目标与调频连续波（FMCW）雷达获得的特性。三种不同的无人机（DJI Phantom 3 Standard，DJI Phantire 1和DJI S900）和四种不同大小的鸟类（北方鹰鸮，哈里斯鹰，印度鹰鸮和黄褐色鹰）已被用于特征提取和分类。所有目标的数据都是用固定波束的W波段（94 GHz）FMCW雷达获得的。提取的特征已被馈送到两个不同的分类器进行训练（线性判别和支持向量机（SVM））。结果表明，使用这些功能的分类器可以清楚地区分无人机和鸟与100%的预测准确率，并能够区分各种大小的无人机与90%以上的准确率。结果表明，该算法是一个非常合适的候选人作为一个实用的FMCW雷达为基础的无人机检测系统的自动目标识别技术。
This paper discusses the various millimeter-wave radar micro-Doppler features of consumer drones and birds which can be fed to a classifier for target discrimination. The proposed feature extraction methods have been developed by considering the micro-Doppler signature characteristics of in-flight targets obtained with a frequency modulated continuous wave (FMCW) radar. Three different drones (DJI Phantom 3 Standard, DJI Inspire 1 and DJI S900) and four birds of different sizes (Northern Hawk Owl, Harris Hawk, Indian Eagle Owl and Tawny Eagle) have been used for the feature extraction and classification. The data for all the targets was obtained with a fixed beam W-band (94 GHz) FMCW radar. The extracted features have been fed to two different classifiers for training (linear discriminant and support vector machine (SVM)). It is shown that the classifiers using these features can clearly distinguish between a drone and a bird with 100% prediction accuracy and are able to differentiate between various sizes of drones with more than 90% accuracy. The results demonstrate that the proposed algorithm is a very suitable candidate as an automatic target recognition technique for a practical FMCW radar based drone detection system.
小型无人机的毫米波微多普勒测量
DOI：
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发表时间：
2017
期刊：
--
影响因子：
--
作者：
Rahman S.
通讯作者：
Rahman S.
DOI：
--
发表时间：
2011-10
期刊：
2011 12th International Radar Symposium (IRS)
影响因子：
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作者：
S. Bjorklund;H. Petersson;A. Nezirovic;M. B. Guldogan;F. Gustafsson
通讯作者：
S. Bjorklund;H. Petersson;A. Nezirovic;M. B. Guldogan;F. Gustafsson