NDLI: Exploitation of multipath micro-Doppler signatures for drone classification

Content Provider	IET Digital Library
Author	Zhang, Pengfei Li, Gang Huo, Chaoying Yin, Hongcheng
Abstract	In this study, the authors present a method of fusion of direct-path and multipath micro-Doppler radar signatures to improve the accuracy of micro-drone classification in urban environments. By using a high-resolution radar, the direct-path and multipath echoes are separated based on the indices of the range cells they occupy. The time–frequency spectrograms of the drones are obtained by performing the short-time Fourier transform on the direct-path and multipath echoes, respectively. The direct-path and multipath features, which are extracted by the principal components analysis on the direct-path and multipath spectrograms, respectively, are fused and fed into classifiers to determine the type of drones. Experimental results based on measured data demonstrate that the classification accuracy produced by multipath exploitation is 5% higher than that obtained by using the direct-path echo only.
Starting Page	586
Ending Page	592
Page Count	7
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 4, Apr (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0105
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-10-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Direct-path Echo Doppler Radar Drone Classification Fourier Transforms High-resolution Radar Image Classification Image Fusion Image Recognition Integral Transforms Mathematical Analysis MicroDoppler Radar Signature Microdrone Classification Multipath Echoes Multipath Exploitation Multipath Feature Multipath Spectrograms Principal Component Analysis Radar Equipment Radar Imaging Radar Resolution Remotely Operated Vehicle Robot Vision Statistics System And Application Time-frequency Analysis
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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