High-precision Solution of Monostatic Radar Cross Section based on Compressive Sensing and QR Decomposition Techniques

作者

  • Chaofan Shi School of Electronic and Information Engineering Anhui University, Hefei, 230601, China
  • Yufa Sun School of Electronic and Information Engineering Anhui University, Hefei, 230601, China
  • Mingrui Ou School of Electronic and Information Engineering Anhui University, Hefei, 230601, China
  • Pan Wang School of Electronic and Information Engineering Anhui University, Hefei, 230601, China
  • Zhonggen Wang School of Electrical and Information Engineering Anhui University of Science and Technology, Huainan, 232001, China

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https://doi.org/10.13052/2023.ACES.J.380809

关键词:

compressing sensing, characteristic basis functions, monostatic electromagnetic scattering

摘要

In solving the monostatic electromagnetic scattering problem, the traditional improved primary characteristic basis function method (IPCBFM) often encounters difficulties in constructing the reduced matrix due to the long computation time and low accuracy. Therefore, a new method combining the compressed sensing (CS) technique with IPCBFM is proposed and applied to solve the monostatic electromagnetic scattering problem. The proposed method utilizes the characteristic basis functions (CBFs) generated by the IPCBFM to achieve a sparse transformation of the surface-induced currents. Several rows in the impedance matrix and excitation vector are selected as the observation matrix and observation vector. The QR decomposition is adopted as the recovery algorithm to realize the recovery of surface-induced currents. Numerical simulations are performed for cylinder, cube, and almond models, and the results show that the new method has higher solution accuracy, shorter computation time, and stronger solution stability than the traditional IPCBFM. It is worth mentioning that the new method reduces the recovery matrix size and the number of CBFs quantitatively, and provides a novel solution for solving monostatic RCS of complex targets.

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Chaofan Shi was born in Xinxiang Henan, China in 1996. He received his B.S. degree from Anyang Institute of Technology in 2020. He is currently pursuing a master’s degree in the School of Electronic and Information Engineering at Anhui University. His research interests mainly focus on electromagnetic scattering.

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Yufa Sun was born in 1966. He received the B.S. and M.S. degrees in radio physics from Shandong University, in 1988 and 1991, respectively, and the Ph.D. degree in electromagnetic field and microwave technology from the University of Science and Technology of China, in 2001. Since 1991, he has been a faculty member with Anhui University, Anhui, China, where he is currently a full professor with the School of Electronic and Information Engineering. He was a visiting scholar with the City University of Hong Kong, from 2002 to 2003, and a postdoctoral researcher with the University of Science and Technology of China, from 2003 to 2006. His research interests include electromagnetic scattering and target recognition, computational electromagnetics, and antenna theory and technology.

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Mingrui Ou was born in Bengbu, Anhui, China in 1991. He received his B.S. degree from Zhengzhou University of Light Industry in 2013. He is currently pursuing a master’s degree in the School of Electronic and Information Engineering at Anhui University. His research interests mainly focus on electromagnetic scattering.

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Pan Wang was born in Huaibei, Anhui, China, in 1989. He received his master’s degree from Anhui University of Science and Technology in 2023. He is currently pursuing a Ph.D. degree in the School ofElectronic and Information Engineering at Anhui University. His research interests mainly focus on computational electromagnetics.

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Zhonggen Wang received the Ph.D. degree in electromagnetic field and microwave technique from the Anhui University of China (AHU), Hefei, P. R. China, in 2014. Since 2014, he has been with the School of Electrical and Information Engineering, Anhui University of Science and Technology. His research interests include computational electromagnetics, array antennas, and reflect arrays.

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已出版

2023-08-31

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[1]
C. . Shi, Y. . Sun, M. . Ou, P. . Wang, 和 Z. . Wang, 《High-precision Solution of Monostatic Radar Cross Section based on Compressive Sensing and QR Decomposition Techniques》, ACES Journal, 卷 38, 期 08, 页 616–624, 8月 2023.

期

2023: Vol 38 Iss 8

栏目

General Submission

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