Multi-static InISAR imaging for ships under sparse aperture

doi:10.23919/JSEE.2022.000055

Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (3): 575-584.doi: 10.23919/JSEE.2022.000055

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles Next Articles

Multi-static InISAR imaging for ships under sparse aperture

Bingren JI(), Yong WANG*(), Bin ZHAO(), Rongqing XU()

¹ School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China

Received:2021-03-01 Online:2022-06-18 Published:2022-06-24
Contact: Yong WANG E-mail:1455252058@qq.com;wangyong6012@hit.edu.cn;smith@riee.hit.edu.cn;xurongqing@hit.edu.cn
About author:|JI Bingren was born in 1992. He received his B.S. degree and M.S. degree in the Department of Electronic Information Engineering in 2014 and 2016 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 ISAR imaging, compressed sensing, and interferometric ISAR. E-mail: 1455252058@qq.com||WANG Yong was born in 1979. He received his B.S. degree and M.S. degree from Harbin Institute of Technology (HIT), Harbin, China, in 2002 and 2004, respectively, both in electronic engineering. 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 signals, radar signal processing, and their application in synthetic aperture radar imaging. E-mail: wangyong6012@hit.edu.cn||ZHAO Bin was born in 1972. He received his B.S. degree and M.S. degree from Harbin Institute of Technology (HIT), Harbin, China, in 1988 and 1998, respectively, both in electronic engineering. 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 radar system control and synthetic aperture radar imaging. E-mail: smith@riee.hit.edu.cn||XU Rongqing was born in 1958. He received his B.S. and M.S. degrees in electronic engineering and his Ph.D. degree in information and communication engineering from Harbin Institute of Technology (HIT), Harbin, China, in 1982, 1984, and 1990, respectively. He is currently a professor with the Institute of Electronic Engineering Technology, HIT. His main research interest is radar signal processing. E-mail: xurongqing@hit.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61871146)

Abstract

Abstract:

This paper concentrates on super-resolution imaging of the ship target under the sparse aperture situation. Firstly, a multi-static configuration is utilized to solve the coherent processing interval (CPI) problem caused by the slow-speed motion of ship targets. Then, we realize signal restoration and image reconstruction with the alternating direction method of multipliers (ADMM). Furthermore, we adopt the interferometric technique to produce the three-dimensional (3D) images of ship targets, namely interferometric inverse synthetic aperture radar (InISAR) imaging. Experiments based on the simulated data are utilized to verify the validity of the proposed method.

Key words: multi-static, sparse aperture, signal recovery, interferometric inverse synthetic aperture radar (InISAR), ship target, alternating direction method of multipliers (ADMM)

Bingren JI, Yong WANG, Bin ZHAO, Rongqing XU. Multi-static InISAR imaging for ships under sparse aperture[J]. Journal of Systems Engineering and Electronics, 2022, 33(3): 575-584.

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Parameter	Value	Parameter	Value
Range sampling frequency/MHz	25.6	Bandwidth/MHz	200
SNR/dB	25	Carrier frequency/GHz	10
Pulse number	256	Pulse repetition frequency/Hz	625
Pulse width/μs	10	The length of baseline/m	2

Parameter	Pitch	Roll	Yaw
Amplitude/radian	$1{\text{π}}$ /180	$1.5{\text{π} }$ /180	$3{\text{π}}$ /180
Period/s	6	12	14
Angular velocity/(radian/s)	$2{\text{π}}$ /6	$2{\text{π}}$ /12	$2{\text{π}}$ /14

Parameter	Pitch	Roll	Yaw
Amplitude/radian	$ 2{\text{π}} $ /180	$3{\text{π} }$ /180	$4{\text{π}} $ /180
Period/s	6	12	14
Angular velocity/(radian/s)	$2{\text{π}} $ /6	$2{\text{π}} $ /12	$2{\text{π}} $ /14

Figure	RM	RM1
Fig. 6	3.8269	3.8036
Fig. 7	3.9546	3.8103

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[2]	Youhua Wang and Jianqiu Zhang. Robust signal recovery algorithm for structured perturbation compressive sensing [J]. Journal of Systems Engineering and Electronics, 2016, 27(2): 319-325.
[3]	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-.
[4]	Chenglan Liu, Feng He, Xunzhang Gao, Xiang Li, and Rongjun Shen. Novel reference range selection method in InISAR imaging [J]. Journal of Systems Engineering and Electronics, 2012, 23(4): 512-521.
[5]	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.

Multi-static InISAR imaging for ships under sparse aperture

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