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Extraction of Global and Local Micro-Doppler Signature Features From FMCW Radar Returns for UAV Detection
IEEE Transactions on Aerospace and Electronic Systems ( IF 4.4 ) Pub Date : 2020-10-27 , DOI: 10.1109/taes.2020.3034020
Beom-Seok Oh 1 , Zhiping Lin 2
Affiliation  

In this article, an unmanned aerial vehicles detection system is proposed for an X -band ground-based surveillance frequency modulated continuous wave Doppler radar. Two novel features are directly extracted from the Doppler processing results without a time-frequency analysis. Experimental results on measured radar echo signals show that our system consistently outperforms the state of the art in terms of detection accuracy and computational efficiency.

中文翻译:

从FMCW雷达回波中提取全局和局部微多普勒签名特征以进行无人机检测

在本文中,提出了一种用于无人机的无人机检测系统 X 波段地面监视频率调制连续波多普勒雷达。直接从多普勒处理结果中提取两个新颖的特征,而无需进行时频分析。在测得的雷达回波信号上的实验结果表明,我们的系统在检测精度和计算效率方面始终优于最新技术。
更新日期:2020-10-27
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