Extraction of Global and Local Micro-Doppler Signature Features from FMCW Radar Returns for UAV Detection

Beom Seok Oh; Zhiping Lin

doi:10.1109/TAES.2020.3034020

Extraction of Global and Local Micro-Doppler Signature Features from FMCW Radar Returns for UAV Detection

Beom Seok Oh
, Zhiping Lin

Dept. of Applied Artificial Intelligence

Nanyang Technological University

Research output: Contribution to journal › Article › peer-review

48 Scopus citations

Abstract

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.

Original language	English
Article number	9241238
Pages (from-to)	1351-1360
Number of pages	10
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	57
Issue number	2
DOIs	https://doi.org/10.1109/TAES.2020.3034020
State	Published - Apr 2021

Keywords

Frequency modulated continuous wave (FMCW) surveillance radar
micro-Doppler signature analysis
UAV detection
unmanned aerial vehicle (UAV)

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10.1109/TAES.2020.3034020

Cite this

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title = "Extraction of Global and Local Micro-Doppler Signature Features from FMCW Radar Returns for UAV Detection",

abstract = "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.",

keywords = "Frequency modulated continuous wave (FMCW) surveillance radar, micro-Doppler signature analysis, UAV detection, unmanned aerial vehicle (UAV)",

author = "Oh, \{Beom Seok\} and Zhiping Lin",

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AU - Lin, Zhiping

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AB - 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.

KW - Frequency modulated continuous wave (FMCW) surveillance radar

KW - micro-Doppler signature analysis

KW - UAV detection

KW - unmanned aerial vehicle (UAV)

UR - https://www.scopus.com/pages/publications/85096134730

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Extraction of Global and Local Micro-Doppler Signature Features from FMCW Radar Returns for UAV Detection

Abstract

Keywords

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