Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (1): 68-80.doi: 10.23919/JSEE.2021.000008

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

An approach of motion compensation and ISAR imaging for micro-motion targets

Yong WANG1,*(), Xingyu ZHOU1(), Xiaofei LU2(), Yajun LI3()   

  1. 1 School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
    2 Jiuquan Satellite Launch Center, Jiuquan 732750, China
    3 Shanghai Radio Equipment Research Institute, Shanghai 201109, China
  • Received:2020-03-30 Online:2021-02-18 Published:2021-03-16
  • Contact: Yong WANG E-mail:wangyong6012@hit.edu.cn;zhou_xingy@163.com;luxf08@163.com;liyajun1985happy@163.com
  • About author:|WANG Yong was born in 1979. He received his B.S. degree and M.S. degree in electronic engineering from Harbin Institute of Technology (HIT), Harbin, China, in 2002 and 2004, respectively. He received his Ph.D. degree in information and communication engineering from HIT in 2008. He is currently a professor with the Institute of Electronic Engineering Technology in HIT. His main research interests are time frequency analysis of nonstationary signal, radar signal processing, and their application in synthetic aperture radar imaging. He has published more than 60 papers, and most of them appeared in the journals of IEEE Trans. on GRS, IET Signal Processing, Signal Processing, etc. He received the Program for New Century Excellent Talents in University of Ministry of Education of China in 2012, and the Excellent Doctor’s Degree Nomination Award in China in 2010. E-mail: wangyong6012@hit.edu.cn||ZHOU Xingyu was born in 1995. He received his B.S. degree in the Department of Electronic Information Engineering in 2019 from Harbin Institute of Technology (HIT), Harbin, China. He is now pursuing his Ph.D. degree in the Department of Electronic Information Engineering from HIT. His current research interests include inverse synthetic aperture radar imaging, and micro-Doppler analysis. E-mail: zhou_xingy@163.com||LU Xiaofei was born in 1981. He received his B.S. degree and M.S. degree in?electronic?engineering from Harbin Institute of Technology, Harbin, China, in 2002 and 2004, respectively. He received his Ph.D. degree in control theory and control engineering from Tsinghua University in 2012. He is currently an engineer in Jiuquan Satellite Launch Center. His main research interests are target recognition, radar signal processing, and their practical application. E-mail: luxf08@163.com||LI Yajun was born in 1985. He received his Ph.D. degree in information and communication engineering from Harbin Institute of Technology, Harbin, China, in 2011. He is currently the engineer of Shanghai Radio Equipment Research Institute. His main research interests are radar system modeling and simulation, array signal processing, and moving target detection. E-mail: liyajun1985happy@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61871146), the Fundamental Research Funds for the Central Universities, and the State Key Laboratory of Millimeter Waves (K202022)

Abstract:

Inverse synthetic aperture radar (ISAR) imaging of the target with the non-rigid body is very important in the field of radar signal processing. In this paper, a motion compensation method combined with the preprocessing and global technique is proposed to reduce the influence of micro-motion components in the fast time domain, and the micro-Doppler (m-D) signal in the slow time domain is separated by the improved complex-valued empirical-mode decomposition (CEMD) algorithm, which makes the m-D signal more effectively distinguishable from the signal for the main body by translating the target to the Doppler center. Then, a better focused ISAR image of the target with the non-rigid body can be obtained consequently. Results of the simulated and raw data demonstrate the effectiveness of the algorithm.

Key words: inverse synthetic aperture radar (ISAR), micro-Doppler (m-D), motion compensation, complex-valued empirical-mode decomposition (CEMD)