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

doi:10.23919/JSEE.2021.000008

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 WANG^1,*(), Xingyu ZHOU¹(), Xiaofei LU²(), Yajun LI³()

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:2021-02-25 Published:2021-02-25
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

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)

Yong WANG, Xingyu ZHOU, Xiaofei LU, Yajun LI. An approach of motion compensation and ISAR imaging for micro-motion targets[J]. Journal of Systems Engineering and Electronics, 2021, 32(1): 68-80.

Figures/Tables 12

Fig 1

Fig 2

Fig 3

Fig 4

Fig 5

Fig 6

Table 1

Fig 7

Fig 8

Fig 9

Fig 10

Table 2

References 26

1	CHEN C C, ANDREWS H C Target-motion-induced radar imaging. IEEE Trans. on Aerospace and Electronic Systems, 1980, 16 (1): 2- 14. doi: 10.1109/TAES.1980.308873
2	WANG J F, KASILINGAM D Global range alignment for ISAR. IEEE Trans. on Aerospace and Electronic Systems, 2003, 39 (1): 351- 357. doi: 10.1109/TAES.2003.1188917
3	WANG J F, LIU X Z. Improvement of ISAR global range alignment. Proc. of the IEEE International Conference on Image Processing, 2005. DOI: 10.1109/ICIP.2005.1530030.
4	LIU Z, LIAO G, YANG Z Iterative range alignment method with optimised weighted fitting for an inverse synthetic aperture radar. IET Radar, Sonar and Navigation, 2012, 6 (8): 764- 773. doi: 10.1049/iet-rsn.2011.0329
5	SAUER T, SCHROTH A Robust range alignment algorithm via Hough transform in an ISAR imaging system. IEEE Trans. on Aerospace and Electronic Systems, 1995, 31 (3): 1173- 1177. doi: 10.1109/7.395222
6	DELISLE G Y, WU H Q Moving target imaging and trajectory computation using ISAR. IEEE Trans. on Aerospace and Electronic Systems, 1994, 30 (3): 887- 899. doi: 10.1109/7.303757
7	WANG G Y, BAO Z The minimum entropy criterion of range alignment in ISAR motion compensation. Proc. of the Radar Systems Conference, 1997, Oct 236- 239.
8	WANG J F, LIU X Z Measurement of sharpness and its application in ISAR imaging. IEEE Trans. on Geoscience and Remote Sensing, 2013, 51 (9): 4885- 4892. doi: 10.1109/TGRS.2013.2273554
9	XING M D, BAO Z, ZHENG Y M Range alignment using global optimization criterion in ISAR imaging. Acta Electronica Sinica, 2001, 29 (12A): 1807- 1811.
10	ZHU D Y, WANG L, YU Y S Robust ISAR range alignment via minimizing the entropy of the average range profile. IEEE Geoscience and Remote Sensing Letters, 2009, 6 (2): 204- 208. doi: 10.1109/LGRS.2008.2010562
11	WANG R, ZENG T, HU C, et al Accurate range profile alignment method based on minimum entropy for inverse synthetic aperture radar image formation. IET Radar, Sonar and Navigation, 2006, 10 (4): 663- 671.
12	HUANG X H, QIU Z K, CHEN Z P A new envelope alignment method for ISAR motion compensation. Signal Processing, 2006, 22 (2): 230- 232.
13	LU G Y, BAO Z Range alignment for targets with moving parts in ISAR imaging. Systems Engineering and Electronics, 2000, 22 (6): 12- 15.
14	CHEN V C, LI F, HO S S, et al Analysis of micro-Doppler signatures. IEE Proceedings—Radar, Sonar and Navigation, 2003, 150 (4): 271- 276.
15	CHEN V C, LI F, HO S S, et al Micro-Doppler effect in radar: phenomenon, model, and simulation study. IEEE Trans. on Aerospace and Electronic Systems, 2006, 42 (1): 2- 21.
16	GAO H, XIE L, WEN S Modeling simulation and experiment of micro-Doppler signature of precession. Journal of Systems Engineering and Electronics, 2010, 21 (4): 544- 549. doi: 10.3969/j.issn.1004-4132.2010.04.003
17	DENG D H, ZHANG Q, LUO Y, et al Resolution and micro-Doppler effect in Bi-ISAR system. Journal of Radars, 2013, 2 (2): 152- 167. doi: 10.3724/SP.J.1300.2013.13039
18	HUI Y, BAI X R RID image series-based high-resolution three-dimensional imaging of micromotion targets. Journal of Radars, 2018, 7 (5): 548- 556.
19	LI J, LING H Application of adaptive chirplet representation for ISAR feature extraction from targets with rotating parts. IEE Proceedings—Radar, Sonar and Navigation, 2003, 150 (4): 284- 291. doi: 10.1049/ip-rsn:20030729
20	THAYAPARAN T, ABROL S, RISEBOROUGH E, et al Analysis of radar micro-Doppler signatures from experimental helicopter and human data. IET Radar, Sonar and Navigation, 2007, 1 (4): 289- 299. doi: 10.1049/iet-rsn:20060103
21	BAI X R, XING M D, ZHOU F, et al Imaging of micromotion targets with rotating parts based on empirical-mode decomposition. IEEE Trans. on Geoscience and Remote Sensing, 2008, 46 (11): 3514- 3523. doi: 10.1109/TGRS.2008.2002322
22	STANKOVIC L, DJUROVIC I, THAYAPARAN T Separation of target rigid body and micro-Doppler effects in ISAR imaging. IEEE Trans. on Aerospace and Electronic Systems, 2006, 42 (4): 1496- 1506. doi: 10.1109/TAES.2006.314590
23	ZHANG Q, YEO T S, TAN H S, et al Imaging of moving target with rotating parts based on Hough transform. IEEE Trans. on Geoscience and Remote Sensing, 2008, 46 (1): 291- 299. doi: 10.1109/TGRS.2007.907105
24	STANKOVIC L, THAYAPARAN T, DAKOVIC M, et al Micro-Doppler removal in the radar imaging analysis. IEEE Trans. on Aerospace and Electronic Systems, 2013, 49 (2): 1234- 1250. doi: 10.1109/TAES.2013.6494410
25	WANG Y, KANG J Parameter estimation for rigid body after micro-Doppler removal based on L-statistics in the radar analysis. Journal of Systems Engineering and Electronics, 2015, 26 (3): 457- 467. doi: 10.1109/JSEE.2015.00053
26	YUAN B, CHEN Z P, XU S Y Micro-Doppler analysis and separation based on complex local mean decomposition for aircraft with fast-rotating parts in ISAR imaging. IEEE Trans. on Geoscience and Remote Sensing, 2013, 52 (2): 1285- 1298.

Algorithm	Fig. 6	Entropy
Cross-correlation	(a)	8.6034
Accumulation correlation	(b)	6.6467
Global minimum entropy	(c)	6.6216
The proposed method	(d)	6.5424

Algorithm	Fig. 9	Entropy
Traditional accumulation correlation and improved CEMD algorithm	(a)	5.9243
Global minimum entropy and improved CEMD algorithm	(b)	5.9012
Preprocessing global algorithm and improved CEMD algorithm	(c)	5.8534

[1]	Xingyu ZHOU, Yong WANG, Xiaofei LU. Approach for ISAR imaging of near-field targets based on coordinate conversion and image interpolation [J]. Journal of Systems Engineering and Electronics, 2021, 32(2): 425-436.
[2]	Hongyin SHI, Yue LIU, Jianwen GUO, Mingxin LIU. ISAR autofocus imaging algorithm for maneuvering targets based on deep learning and keystone transform [J]. Journal of Systems Engineering and Electronics, 2020, 31(6): 1178-1185.
[3]	Qiuchen LIU, Yong WANG, Qingxiang ZHANG. ISAR cross-range scaling based on the MUSIC technique [J]. Journal of Systems Engineering and Electronics, 2020, 31(5): 928-938.
[4]	Hongzhi LI, Yong WANG. Particle swarm optimization for rigid body reconstruction after micro-Doppler removal in radar analysis [J]. Journal of Systems Engineering and Electronics, 2020, 31(3): 488-499.
[5]	Long XIANG, Shaodong LI, Jun YANG, Wenfeng CHEN, Hu XIANG. A fast decoupled ISAR high-resolution imaging method using structural sparse information under low SNR [J]. Journal of Systems Engineering and Electronics, 2019, 30(3): 492-503.
[6]	Hongyin SHI, Saixue XIA, Ye TIAN. ISAR imaging based on improved phase retrieval algorithm [J]. Journal of Systems Engineering and Electronics, 2018, 29(2): 278-285.
[7]	Xizhang Wei, Zhen Liu, Xiaofeng Ding, and Bo Peng. Motion compensation algorithm in narrowband imaging for mid-course targets [J]. Systems Engineering and Electronics, 2017, 28(1): 40-.
[8]	Xinpeng Zhou, Guohua Wei, Dawei Wang, Xu Wang, and Siliang Wu. ISAR imaging of high-speed moving targets in short-range using impulse radar [J]. Journal of Systems Engineering and Electronics, 2015, 26(5): 964-972.
[9]	Yu Zhang, Congfeng Liu, and Yan Zhu. ISAR active jamming method based on sinusoidal modulation [J]. Journal of Systems Engineering and Electronics, 2015, 26(4): 713-.
[10]	Ling Wang, Zhenxiao Cao, Ning Li, Teng Jing, and Daiyin Zhu. Optimal ship imaging for shore-based ISAR using DCF estimation [J]. Journal of Systems Engineering and Electronics, 2015, 26(4): 739-.
[11]	Yong Wang and Jian Kang. Parameter estimation for rigid body after micro-Doppler removal based on L-statistics in the radar analysis [J]. Systems Engineering and Electronics, 2015, 26(3): 457-467.
[12]	Xiaoyi Pan, Wei Wang, Qixiang Fu, Dejun Feng, and Guoyu Wang. Simulation of two-dimensional ISAR decoys on a moving platform [J]. Journal of Systems Engineering and Electronics, 2015, 26(2): 250-257.
[13]	Ning Tang, Xunzhang Gao, and Xiang Li. ISAR target recognition based on non-negative sparse coding [J]. Journal of Systems Engineering and Electronics, 2012, 23(6): 849-857.
[14]	Yong Wang. New method of time-frequency representation for ISAR imaging of ship targets [J]. Journal of Systems Engineering and Electronics, 2012, 23(4): 502-511.
[15]	Yingkang Zhang, Yang Xiao, and Shaohai Hu. 3D motion and geometric information system of single-antenna radar based on incomplete 1D range data [J]. Journal of Systems Engineering and Electronics, 2011, 22(3): 412-420.

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

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

Figures/Tables 12

References 26

Related Articles 15

Recommended Articles

Metrics

Comments