Sparse three-dimensional imaging for forward-looking array SAR using spatial continuity

doi:10.23919/JSEE.2021.000035

Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (2): 417-424.doi: 10.23919/JSEE.2021.000035

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles Next Articles

Sparse three-dimensional imaging for forward-looking array SAR using spatial continuity

Xiangyang LIU*(), Bingpeng ZHANG(), Wei CAO(), Wenjia XIE()

¹ School of Information and Communication, National University of Defense Technology, Shaanxi 710106, China

Received:2020-07-03 Online:2021-04-29 Published:2021-04-29
Contact: Xiangyang LIU E-mail:liuxiangyang17@nudt.edu.cn;1079606950@qq.com;1386studio@gmail.com;xiewenjia17@nudt.edu.cn
About author:|LIU Xiangyang was born in 1982. He received his B.S. degree in network engineering, Ph.D. degree in information and communication engineering from Xidian University, Xi’an, China. He is currently an associate professor with the School of Information and Communication, National University of Defense Technology. His current research interests are compressed sensing and radar three-dimensional imaging. E-mail: liuxiangyang17@nudt.edu.cn||ZHANG Bingpeng was born in 1993. He received his B.S. degree in surveying and mapping engineering from Northeastern University, Shenyang, China. He is currently a postgraduate student with the School of Information and Communication, National University of Defense Technology. His current research interest is compressed sensing. E-mail: 1079606950@qq.com||CAO Wei was born in 1981. He received his B.S. degree in network engineering, M.A. degree in information and communication engineering from Xidian University, Xi’an, China. He is currently a lecturer with the School of Information and Communication, National University of Defense Technology. His current research interests are data processing and fusion. E-mail: 1386studio@gmail.com||XIE Wenjia was born in 1984. She received her master’s degree in computer technology from Xidian University, Xi’an, China. She is currently a lecturer of the School of Information and Communication, National University of Defense Technology. Her current research interests include network and communication. E-mail: xiewenjia17@nudt.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61640006), and the Natural Science Foundation of Shannxi Province, China (2019JM-386);This work was supported by the National Natural Science Foundation of China (61640006), and the Natural Science Foundation of Shannxi Province, China (2019JM-386)

Abstract

Abstract:

For forward-looking array synthetic aperture radar (FASAR), the scattering intensity of ground scatterers fluctuates greatly since there are kinds of vegetations and topography on the surface of the ground, and thus the signal-to-noise ratio (SNR) of its echo signals corresponding to different vegetations and topography also varies obviously. Owing to the reason known to all, the performance of the sparse reconstruction of compressed sensing (CS) becomes worse in the case of lower SNR, and the quality of the sparse three-dimensional imaging for FASAR would be affected significantly in the practical application. In this paper, the spatial continuity of the ground scatterers is introduced to the sparse recovery algorithm of CS in the three-dimensional imaging for FASAR, in which the weighted least square method of the cubic interpolation is used to filter out the bad and isolated scatterer. The simulation results show that the proposed method can realize the sparse three-dimensional imaging of FASAR more effectively in the case of low SNR.

Key words: forward-looking array synthetic aperture radar (FASAR), sparse three-dimensional imaging, compressed sensing (CS), spatial continuity

Xiangyang LIU, Bingpeng ZHANG, Wei CAO, Wenjia XIE. Sparse three-dimensional imaging for forward-looking array SAR using spatial continuity[J]. Journal of Systems Engineering and Electronics, 2021, 32(2): 417-424.

Figures/Tables 7

Fig.1

Fig.2

Table 1

Fig.3

Fig.4

Fig.5

Fig.6

References 11

1	KRIEGER G, MITTERMAYER J, BUCKREUSS S, et al Sector imaging radar for enhanced vision. Aerospace Science and Technology, 2003, 7 (2): 147- 158. doi: 10.1016/S1270-9638(02)01189-6
2	REN X Z, SUN J T, YANG R L A new three-dimensional imaging algorithm for airborne forward-looking SAR. IEEE Geoscience and Remote Sensing Letters, 2011, 8 (1): 153- 157. doi: 10.1109/LGRS.2010.2055035
3	GIORGIO F, ANTONIO I, DANIELE R Forward-looking synthetic aperture radar (FLoSAR): the array approach. IEEE Geoscience and Remote Sensing Letters, 2014, 11 (1): 303- 307. doi: 10.1109/LGRS.2013.2257159
4	REN X Z, YANG R L Study on three-dimensional imaging algorithm for airborne forward-looking SAR. Journal of Electronics & Information Technology, 2010, 32 (6): 1361- 1365.
5	SHI J, ZHANG X L, YANG J Y, et al APC trajectory design for “One-active” linear-array three-dimensional imaging SAR. IEEE Trans. on Geoscience and Remote Sensing, 2010, 48 (3): 1470- 1486. doi: 10.1109/TGRS.2009.2031430
6	SHI J, ZHANG X L, YANG J Y, et al Surface-tracing-based LASAR 3-D imaging method via multi-resolution approximation. IEEE Trans. on Geoscience and Remote Sensing, 2008, 46 (11): 3719- 3730. doi: 10.1109/TGRS.2008.2001170
7	WEI S J Research on linear array three-dimensional synthetic aperture radar sparse imaging technology. Chengdu: University of Electronic Science and Technology of China, 2013,
8	WEI S J, ZHANG X L, SHI J. Linear array SAR imaging via compressed sensing. Progress in Electromagnetics Research, 2011, 117: 299−319.
9	LIU X Y, WANG J, NIU D Z, et al The method on echo sparse sampling and three-dimensional imaging for forward-looking array SAR. Acta Electronica Sinica, 2017, 45 (1): 74- 82.
10	LIU X Y, YANG J G, MENG J, et al Sparse three- dimensional imaging based on Hough transform for forward-looking array SAR in low SNR. Journal of Radars, 2017, 6 (3): 316- 323.
11	LIU X Y, MENG J, LIU X G, et al A method of antennadesign and analysis for forward-looking array SAR system. Journal of Infrared and Millimeter Waves, 2018, 37 (1): 62- 67.

Parameter	Value
Wavelength/mm	3
Pulse bandwidth /MHz	100
Chirp duration /μs	1
Sample frequency /MHz	120
Total bandwidth /GHz	1
Platform velocity /(m/s)	50
Receive antenna length /m	6
Scene’s center range /km	1
Forward-looking angle /(°)	60
Cross-track beamwidth /(°)	3
Range resolution/m	0.15
Along-track resolution/m	0.2
Cross-track resolution/m	0.5
Interval of received elements /cm	3

[1]	Junqiu ZHANG, Yong WANG, Xiaofei LU. Distributed inverse synthetic aperture radar imaging of ship target with complex motion [J]. Journal of Systems Engineering and Electronics, 2021, 32(6): 1325-1337.
[2]	Ruifeng FAN, Xunhe YIN, Zhenfei LIU, Hak Keung LAM. Compensated methods for networked control system with packet drops based on compressed sensing [J]. Journal of Systems Engineering and Electronics, 2021, 32(6): 1539-1556.
[3]	Shuzhen WANG, Yang FANG, Jin'gang ZHANG, Mingshi LUO, Qing LI. Near-field 3D imaging approach combining MJSR and FGG-NUFFT [J]. Journal of Systems Engineering and Electronics, 2019, 30(6): 1096-1109.
[4]	Jiansheng HU, Zuxun SONG, Shuxia GUO, Qian ZHANG, Dongdong SHUI. Sparse channel recovery with inter-carrier interference self-cancellation in OFDM [J]. Journal of Systems Engineering and Electronics, 2018, 29(4): 676-683.
[5]	Mingjiu Lyu, Shaodong Li, Wenfeng Chen, Jun Yang, and Xiaoyan Ma. Fast ISAR imaging method based on scene segmentation [J]. Journal of Systems Engineering and Electronics, 2017, 28(6): 1078-1088.
[6]	Yang Fang, Baoping Wang, Chao Sun, Zuxun Song, and Shuzhen Wang. Near field 3-D imaging approach for joint high-resolution imaging and phase error correction [J]. Systems Engineering and Electronics, 2017, 28(2): 199-211.
[7]	Lin Zhang and Yicheng Jiang. Imaging algorithm of multi-ship motion target based on compressed sensing [J]. Systems Engineering and Electronics, 2016, 27(4): 790-.
[8]	Xiaoping Shi and Jie Zhang. Reconstruction and transmission of astronomical image based on compressed sensing [J]. Systems Engineering and Electronics, 2016, 27(3): 680-690.
[9]	Jihong Liu, Shaokun Xu, Xunzhang Gao, and Xiang Li. Novel imaging methods of stepped frequency radar based on compressed sensing [J]. Journal of Systems Engineering and Electronics, 2012, 23(1): 47-56.

Sparse three-dimensional imaging for forward-looking array SAR using spatial continuity

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

Figures/Tables 7

References 11

Related Articles 9

Recommended Articles

Metrics

Comments