Lightweight Self-Supervised Recognition of Small-Sample Ships Using Micro-Doppler Signatures and UAV-Based UWB Radar-Reference-Cited by-同舟云学术

Lightweight Self-Supervised Recognition of Small-Sample Ships Using Micro-Doppler Signatures and UAV-Based UWB Radar

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhu Lingzhi¹^ORCID,Zhang Qi²^ORCID,Chen Kuiyu³^ORCID,Ma Qun²^ORCID,Chen Si⁴^ORCID,Zhang Shuning⁴^ORCID,Yuan Yue⁴^ORCID

Affiliation:

1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Faculty of Data Science, City University of Macau, Macau, China

3. College of Electronic and Optical Engineering and the College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China

4. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10530127.pdf?arnumber=10530127

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4. Path planning for coverage search for submarines using fixed-wing UAVs in complex irregular sea area;Y;ACTA Armamentarii,2022

5. Micro-doppler effect in radar: phenomenon, model, and simulation study