Sparsity-based efficient simulation of cluster targets electromagnetic scattering

doi:10.23919/JSEE.2023.000055

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (2): 299-306.doi: 10.23919/JSEE.2023.000055

• ELECTRONICS TECHNOLOGY • Previous Articles

Sparsity-based efficient simulation of cluster targets electromagnetic scattering

Yuguang TIAN¹(), Yixin LIU²(), Xuan CHEN³(), Penghui CHEN²^,*(), Jun WANG²(), Junwen CHEN¹

¹ Communication University of China, Beijing 100024, China
² School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
³ Science and Technology on Electromagnetic Scattering Laboratory, Beijing 100854, China

Received:2023-01-10 Accepted:2023-04-03 Online:2023-04-18 Published:2023-04-18
Contact: Penghui CHEN E-mail:tian19881200@126.com;liuyixin2020@buaa.edu.cn;sqcxqqq@126.com;chenpenghui@buaa.edu.cn;wangj203@buaa.edu.cn
About author:
TIAN Yuguang was born in 1988. He received his M.S. degree in electronic science and technology at the Defense Technology Academy of China Aerospace Science and Industry Corporation. He is pursuing his Ph.D. degree in electromagnetic field and microwave technology at the Communication University of China. His research interests are radar target characteristics, target recognition and artificial intelligence. E-mail: tian19881200@126.com

LIU Yixin was born in 1998. She received her B.S. degree in Xidian University, Xi’an, Shanxi Province, China in 2020. She is pursuing her M.S. degree in signal and information engineering, Beihang University, Beijing, China. Her research interests include electromagnetic scattering modeling, and radar target characteristics. E-mail: liuyixin2020@buaa.edu.cn

CHEN Xuan was born in1992. He received his M.S. degree from the Defense Technology Academy of China Aerospace Science and Industry Corporation (CASIC). He is pursuing his Ph.D. degree in CASIC. His research interests are electromagnetic modeling of radar group targets, and parametric representation of electromagnetic. E-mail: sqcxqqq@126.com

CHEN Penghui was born in 1984. He received his Ph.D. degree in signal and information engineering from the School of Electronic and Information Engineering, Beihang University. He is a lecturer in Beihang University. His research interests include electromagnetic scattering modeling, radar target characteristics, target recognition, and radar intelligent sensing. E-mail: chenpenghui@buaa.edu.cn

WANG Jun was born in 1972. He received his Ph.D. degree in signal and information engineering from Beihang University. He is a full professor in Beihang University and Hangzhou Innovation Institute of Beihang University, China. His research interests include digital signal processing, high performance computation, and radar intelligent sensing. E-mail: wangj203@buaa.edu.cn

CHEN Junwen was born in 1959. He received his M.S. degree in electronic science and technology at the Defense Technology Academy of China Aerospace Science and Industry Corporation. He is a doctoral supervisor of Communication University of China. His research interests include radar characteristics and application

Abstract

Abstract:

An efficient and real-time simulation method is proposed for the dynamic electromagnetic characteristics of cluster targets to meet the requirements of engineering practical applications. First, the coordinate transformation method is used to establish a geometric model of the observation scene, which is described by the azimuth angles and elevation angles of the radar in the target reference frame and the attitude angles of the target in the radar reference frame. Then, an approach for dynamic electromagnetic scattering simulation is proposed. Finally, a fast-computing method based on sparsity in the time domain, space domain, and frequency domain is proposed. The method analyzes the sparsity-based dynamic scattering characteristic of the typical cluster targets. The error between the sparsity-based method and the benchmark is small, proving the effectiveness of the proposed method.

Key words: geometric model of the observation scene, dynamic electromagnetic scattering simulation, sparsity-based method

Yuguang TIAN, Yixin LIU, Xuan CHEN, Penghui CHEN, Jun WANG, Junwen CHEN. Sparsity-based efficient simulation of cluster targets electromagnetic scattering[J]. Journal of Systems Engineering and Electronics, 2023, 34(2): 299-306.

Figures/Tables 8

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References 25

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Narrowband feature	Error
Narrowband feature	${{t}_{2}}=5{{t}_{1}} $	${{t}_{2}}=10{{t}_{1}} $
Mean	− 0.15 − 0.15	− 0.3 − 0.3
Median	− 0.2 − 0.2	− 0.4 − 0.4
Standard deviation	− 0.2 − 0.15	− 0.4 − 0.25
Coefficient of variation	− 0.001 − 0.0015	− 0.008 − 0.002
Quartile	− 0.4 − 0.4	− 0.7 − 0.5
Skewness	− 0.2 − 0.1	− 0.3 − 0.2
Kurtosis	− 0.4 − 0.2	− 0.6 − 0.4

Parameter	Target
Parameter	1	2	3	4	5
Facet number	50610	14360	38728	1588	954
Original frequency number	400	400	400	100	100
Original time number	800	8000	5000	8000	8000
Original time consumption/s	14413	64024	70122	38451	34437
Frequency number	100	100	100	25	25
Time number	160	1600	1000	1600	1600
Time consumption/s	726	3211	3618	1932	1755

Sparsity-based efficient simulation of cluster targets electromagnetic scattering

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