UAVs and birds classification using robust coordinate attention synergy residual split-attention network based on micro-Doppler signature measurement by using L-band staring radar-Reference-Cited by-同舟云学术

UAVs and birds classification using robust coordinate attention synergy residual split-attention network based on micro-Doppler signature measurement by using L-band staring radar

Published:2023-11 Issue: Volume:222 Page:113692
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Dai Ting,Mei Liye,Zhang Yue,Tian Biao,Guo Rui,Wang Teng^ORCID,Du Shan^ORCID,Xu Shiyou

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference51 articles.

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4. J.J.M. de Wit, R.I.A. Harmanny, G. Prémel-Cabic, Micro-Doppler analysis of small UAVs, in: 2012 9th European Radar Conference, 2012, pp. 210–213.

5. M. Jahangir, C.J. Baker, L-band staring radar performance against micro-drones, in: 2018 19th International Radar Symposium, 2018, pp. 1–10.

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