Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (6): 1127-1139.doi: 10.23919/JSEE.2022.000138
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收稿日期:2021-06-30出版日期:2022-12-24发布日期:2022-12-24
Micro-Doppler feature extraction of micro-rotor UAV under the background of low SNR
Weikun HE1(
), Jingbo SUN2,*(), Xinyun ZHANG1(), Zhenming LIU1()
- 1 College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
2 Cyber Intelligent Technology Co., Ltd, Ji’nan 250100, China
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Received:2021-06-30Online:2022-12-24Published:2022-12-24 -
Contact:Jingbo SUN E-mail:hwkcauc@126.com;dllcauc@126.com;xyzhangcauc@126.com;1755979259@qq.com -
About author:
HE Weikun was born in 1977. She received her Ph.D. degree from Tianjin University in 2012. From 2010 to 2011, she worked at the Aeronautics and Space Institute of Toulouse, France as a distinguished research scholar. She is currently a professor in the Tianjin Key Laboratory for Advance Signal Processing, Civil Aviation University of China. Her research interests include radar signal processing, and wind farm clutter suppression. E-mail: hwkcauc@126.com
SUN Jingbo was born in 1996. He received his B.S. degree in electronic information science and technology from Heze University in 2018 and his M.S. degree in electronic and communication engineering from Civil Aviation University of China in 2021. He is an engineer from Cyber Intelligent Technology Co., Ltd in Shandong, China. His current research interests mainly focus on micro-Doppler feature analysis and extraction of micro-rotor UAV. E-mail: dllcauc@126.com
ZHANG Xinyun was born in 1996. She is currently pursuing her M.S. degree with the College of Electronic Information and Automation, Civil Aviation University of China. Her current research interests mainly include radar echoes modeling and micro-motion feature analysis for the bird flock. E-mail: xyzhangcauc@126.com
LIU Zhenming was born in 1996. He is currently pursuing his M.S. degree with the College of Electronic Information and Automation, Civil Aviation University of China. His current research interest is mainly the identification of non-cooperative targets under the background of strong dynamic clutter. E-mail: 1755979259@qq.com -
Supported by:This work was supported by the National Natural Science Foundation of China (62141108), and Natural Science Foundation of Tianjin (19JCQNJC01000).
引用本文
. [J]. Journal of Systems Engineering and Electronics, 2022, 33(6): 1127-1139.
Weikun HE, Jingbo SUN, Xinyun ZHANG, Zhenming LIU. Micro-Doppler feature extraction of micro-rotor UAV under the background of low SNR[J]. Journal of Systems Engineering and Electronics, 2022, 33(6): 1127-1139.
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| Parameter | Value |
| Frequency/GHz | 5.5 |
| Pulse repetition interval/µs | 60 |
| Sampling rate/MHz | 80 |
| Bandwidth/MHz | 20 |
| Time window/ms | 192 |
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| Parameter | Quadcopter |
| Number of rotors | 4 |
| Number of blades | 2 |
| Blade length/mm | 120 |
| Rotating rate/(r/s) | Motion state 50,64 |
| Fuselage speed/(m/s) | 6 |
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| Micro-motion parameter | Theoretical value | Estimated value | Relative mean square root error | |||
| Before reconstruction | After reconstruction | Before reconstruction | After reconstruction | |||
| Maximum Doppler frequency | 1 548.22 Hz | 1652.01 Hz | 1516.30 Hz | 4.17% | 1.73% | |
| Rotating speed | 56 r/s | 57.13 r/s | 56.03 r/s | 1.65% | 0.21% | |
| Blade length | 120 mm | 123.93 mm | 119.23 mm | 4.83% | 2.21% | |
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| Micro-motion parameter | Theoretical value | Estimated value | Relative mean square root error | |||
| Before reconstruction | After reconstruction | Before reconstruction | After reconstruction | |||
| Rotating speed 1 | 50 r/s | 50.83 r/s | 49.97 r/s | 0.69% | 0.45% | |
| Maximum Doppler frequency corresponding to rotation speed 1 | 1350.29 Hz | 1452.50 Hz | 1308 Hz | 5.35% | 3.51% | |
| Blade length corresponding to rotation speed 1 | 120 mm | 125.91 mm | 119.11 mm | 5.30% | 3.51% | |
| Rotating speed 2 | 64 r/s | 65.01 r/s | 64.08 r/s | 0.93% | 0.33% | |
| Maximum Doppler frequency corresponding to rotation speed 2 | 1728.37 Hz | 1821.60 Hz | 1683.23 Hz | 4.49% | 2.83% | |
| Blade length corresponding to rotation speed 2 | 120 mm | 126.21 mm | 118.50 mm | 4.55% | 2.89% | |
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| Calculation time | Maximum Doppler frequency | Rotation speed |
| Before spectrum reconstruction | 22.01 | 3.56 |
| After spectrum reconstruction | 25.74 | 5.77 |
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