A Rapid Single-view Radar Imaging Method with Window Functions

Authors

  • Wen Ming Yu School of Information Science and Engineering, Southeast University Nanjing, 210096, China
  • Yi Ting Yang School of Information Science and Engineering, Southeast University Nanjing, 210096, China
  • Xiao Fei Lu Jiuquan Satellite Launch Center Jiuquan, 732750, China
  • Chao Yang Northwest Institute of Nuclear Technology Xi’an, 710024, China
  • Zai Gao Chen Northwest Institute of Nuclear Technology Xi’an, 710024, China
  • Tie Jun Cui School of Information Science and Engineering, Southeast University Nanjing, 210096, China

DOI:

https://doi.org/10.13052/2024.ACES.J.390101

Keywords:

Radar imaging, single-view, window functions

Abstract

Monostatic rapid single-view radar imaging technology is a technique that employs single incidence angle and single frequency point information to implement rapid monostatic radar imaging within a small angular field. Owing to its analytical expression, this technique can substitute the traditional frequency-angle-scanning imaging in a small angular range, facilitating the rapid generation of highly realistic radar imaging data slices for complex targets and environments. This technology has been significantly applied in scatter hotspot diagnostics and target recognition. In order to achieve the windowing effect equivalent to that of frequency-angle-scanning imaging, and to enhance the scattering feature of monostatic imaging while controlling sidelobes, this paper derives analytic windowed imaging formulas for monostatic radar. It then obtains analytical expressions for various typical monostatic windowing rapid radar imaging scenarios. This enables the monostatic rapid imaging technology to maintain high efficiency in its analytical expressions while achieving the windowing effect equivalent to traditional imaging. The validity and correctness of the analytical formula and software implementation have been confirmed through 1D, 2D, and 3D imaging verifications. This technology can provide a vast amount of training data for modern radars.

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Author Biographies

Wen Ming Yu, School of Information Science and Engineering, Southeast University Nanjing, 210096, China

Wen Ming Yu was born in Zhuji, Zhejiang, China, in 1980. He received the B.Sc. and Ph.D. degrees from the Nanjing University of Science and Technology, Nanjing, China, in 2002 and 2007, respectively. He currently serves as a Lecturer at the School of Information Science and Engineering, Southeast University. His research interest is computational electromagnetics.

Yi Ting Yang, School of Information Science and Engineering, Southeast University Nanjing, 210096, China

Yi Ting Yang (1992-) received the B.Sc. and M.Sc. degrees in communication engineering from the School of Electrical Engineering and Optical Technique, Nanjing University of Science and Technology, Nanjing, China, in 2013 and 2016, respectively. She is currently pursuing the Ph.D. degree in State Key Laboratory of Millimeter Waves, Southeast University, Nanjing. Her research interests include the areas of computational electromagnetics and absorbing material design.

Xiao Fei Lu, Jiuquan Satellite Launch Center Jiuquan, 732750, China

Xiao Fei Lu was born in 1981. He received the B.S. and M.S. degrees from the Harbin Institute of Technology (HIT), Harbin, China, in 2002 and 2004, respectively, both in electronic engineering, and the Ph.D. degree in control theory and control engineering from Tsinghua University, Beijing, China, in 2012. He is currently an Engineer with Jiu Quan Satellite Launch Center. His main research interests include target recognition, radar signal processing, and their practical application. He has authored or coauthored more than 20 papers.

Chao Yang, Northwest Institute of Nuclear Technology Xi’an, 710024, China

Chao Yang received the B.S. degree in applied physics from Xidian University, Xi’an, China, in 2014, and the Ph.D. degree in electronic science and technology from Zhejiang University, Hangzhou, China, in 2019. He is currently an assistant research fellow with Northwest Institute of Nuclear Technology, Xi’an, China. His research interests include computational electromagnetic, intense electromagnetic pulse environment, and electromagnetic scattering.

Zai Gao Chen, Northwest Institute of Nuclear Technology Xi’an, 710024, China

Zai Gao Chen was born in China in 1983. He received the B.S. degree in physical electronics from the University of Electronic Science and Technology of China, in 2005, and the M.S. degree in electromagnetic theory and microwave techniques from the Northwest Institute of Nuclear Technology (NINT), Xi’an, China, in 2008, and the Ph.D. degree in physical electronics from Xi’an Jiaotong University, Xi’an. He is currently working with NINT as an Associate Professor. His research interests mainly concentrate on numerical electromagnetic methods and plasma physics.

Tie Jun Cui, School of Information Science and Engineering, Southeast University Nanjing, 210096, China

Tie Jun Cui (M’98-SM’00-F’15) received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from Xidian University, Xi’an, China, in 1987, 1990, and 1993, respectively. He became an associate professor there in 1993, then worked in Germany at the University of Karlsruhe until 1997. After that, he joined the University of Illinois at Urbana-Champaign as a postdoc and research scientist. Since 2001, he has been a distinguished professor at Southeast University in China, where he now serves as the main professor and director of a key laboratory in millimeter waves, as well as founding an institute on electromagnetic space.

Dr. Cui’s research interests include metamaterials and computational electromagnetics. He proposed the concepts of digital coding and programmable metamaterials, and realized their first prototypes, based on which he founded the new direction of information metamaterials, bridging the physical world and digital world. He has written books on the subject, published over 600 journal articles, and holds more than 150 patents. His work has been widely reported by Nature News, MIT Technology Review, Scientific American, Discover, New Scientists, etc.

Dr. Cui is the Academician of Chinese Academy of Science, and IEEE Fellow. He has held editorial roles for several scientific journals and has delivered over 100 keynote speeches. In 2019-2021, he was ranked in the top 1% for the highly cited papers in the field of Physics by Clarivate Web of Science (Highly Cited Researcher).

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Published

2024-01-31

How to Cite

[1]
W. M. Yu, Y. T. Yang, X. F. Lu, C. Yang, Z. G. Chen, and T. J. Cui, “A Rapid Single-view Radar Imaging Method with Window Functions”, ACES Journal, vol. 39, no. 01, pp. 1–8, Jan. 2024.

Issue

2024: Vol 39 Iss 1

Section

General Submission

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