In-depth Analysis of the Micro-Doppler Features to Discriminate Drones and Birds

被引：0

作者：

Park, SangHong ^{[1
]}

Jung, JooHo ^{[2
]}

Cha, SangBin ^{[2
]}

Kim, SooBum ^{[3
]}

Youn, SeWon ^{[3
]}

Eo, IkSoo ^{[4
]}

Koo, BonTae ^{[4
]}

机构：

[1] Pukyong Natl Univ, Dept Elect Engn, Busan, South Korea

[2] Pohang Univ Sci & Technol, Pohang, South Korea

[3] RADSYS Co Ltd, Pohang, South Korea

[4] Elect & Telecommun Res Inst ETRI, Seoul, South Korea

来源：

2020 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC) | 2020年

基金：

新加坡国家研究基金会;

关键词：

micro-Doppler; spectrogram; classificaiton; drones; birds;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the classification result of various features obtained from the micro-Doppler(MD) signature of drones and birds considering the real flight scenarios. Classification results using the rotating blade and the flapping wing made of the plate and the ellipsoid demonstrate that the MD bandwidth is the most efficient feature.

引用

页数：3

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