An approach to wide-field imaging of linear rail ground-based SAR in high squint multi-angle mode

doi:10.23919/JSEE.2020.000047

Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (4): 722-733.doi: 10.23919/JSEE.2020.000047

• Defence Electronics Technology • Previous Articles Next Articles

An approach to wide-field imaging of linear rail ground-based SAR in high squint multi-angle mode

Yuan ZHANG¹(), Qiming ZHANG¹(), Yanping WANG^1,*(), Yun LIN¹(), Yang LI¹(), Zechao BAI¹(), Fang LI²()

¹ School of Information Science and Technology, North China University of Technology, Beijing 100144, China
² Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang 362200, China

Received:2019-09-05 Online:2020-08-25 Published:2020-08-25
Contact: Yanping WANG E-mail:zhangyuan@ncut.edu.cn;zhangqimingncut@outlook.com;wangyp@ncut.edu.cn;ylin@ncut.edu.cn;haffner@126.com;baizechao1991@163.com;fangli@fjirsm.ac.cn
About author:ZHANG Yuan was born in 1983. He received his Ph.D. degree from Beihang University in 2017. He was invited by Prof. Xiaoxiang Zhu and Prof. Richard Bamler to conduct Ph.D. joint cultivation at the German Aerospace Center and the Technical University of Munich in 2015 to 2016. Currently, he is an associate professor with the North China University of Technology. E-mail: zhangyuan@ncut.edu.cn|ZHANG Qiming was born in 1997. He received his B.S. degree in electronic information engineering from Jilin University in 2018. Now he is a postgraduate student of the School of Information Science and Technology, North China University of Technology, Beijing, China. His research interest is synthetic aperture radar imaging. E-mail: zhangqimingncut@outlook.com|WANG Yanping was born in 1976. He received hisPh.D. degree from the Institute of Electronics, Chinese Academy ofSciences, Beijing, China, in 2003, where he has been the deputydirector of the National Key Laboratory of Microwave ImagingTechnology. Now he is a professor with the School of InformationScience and Technology, North China University of Technology, Beijing, China. He is a member of the IEEE and the IETInternational Radar Conference Procedure Committee. His researchinterests include intelligent radar, radar deformation monitoring, and intelligentearly warning technology.E-mail: wangyp@ncut.edu.cn|LIN Yun was born in 1983. She received her Ph.D. degree from the Institute of Electronics, Chinese Academy of Sciences in 2011. From 2012 to 2018, she was with the Institute of Electronics, Chinese Academy of Sciences, as a scientist. Now, she is an associate professor with the School of Electronic Information Engineering, North China University of Technology, Beijing, China. Her current interests are circular SAR imaging and anisotropic scattering target detection. E-mail: ylin@ncut.edu.cn|LI Yang was born in 1983. He received his Ph.D. degree from the Institute of Electronics, Chinese Academy of Sciences. He is an associate professor with the School of Information Science and Technology, North China University of Technology, Beijing, China. His research interests include intelligent radar, radar deformation monitoring, and intelligent early warning technology. E-mail: haffner@126.com|BAI Zechao was born in 1991. He is currently pursuing his Ph.D. degree at North China University of Technology, Beijing. His research interests are the spaceborne/ground interferometric synthetic aperture radar (InSAR) algorithm and its application in geological disaster InSAR data processing. E-mail: baizechao1991@163.com|LI Fang was born in 1986. He received his Ph.D. degree in photogrammetry and remote sensing from the Technical University of Munich. He is an associate research fellow with the Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China. His main research interests include image processing and analysis, pattern recognition, and related remote sensing/environmental and industrial applications. E-mail: fangli@fjirsm.ac.cn
Supported by:
the National Natural Science Foundation of China(61801007);the Beijing Natural Science Foundation(4194075);This work was supported by the National Natural Science Foundation of China (61801007) and the Beijing Natural Science Foundation (4194075)

Abstract

Abstract:

Ground-based synthetic aperture radar (GB-SAR) has been successfully applied to the ground deformation monitoring. However, due to the short length of the GB-SAR platform, the scope of observation is largely limited. The practical applications drive us to make improvements on the conventional linear rail GB-SAR system in order to achieve larger field imaging. First, a turntable is utilized to support the rotational movement of the radar. Next, a series of high-squint scanning is performed with multiple squint angles. Further, the high squint modulation phase of the echo data is eliminated. Then, a new multi-angle imaging method is performed in the wave number domain to expand the field of view. Simulation and real experiments verify the effectiveness of this method.

Key words: ground-based synthetic aperture radar (GB-SAR), high squint, multi-angle

Yuan ZHANG, Qiming ZHANG, Yanping WANG, Yun LIN, Yang LI, Zechao BAI, Fang LI. An approach to wide-field imaging of linear rail ground-based SAR in high squint multi-angle mode[J]. Journal of Systems Engineering and Electronics, 2020, 31(4): 722-733.

Figures/Tables 25

Fig 1

Fig 2

Fig 3

Fig 4

Fig 5

Fig 6

Fig 7

Fig 8

Table 1

Fig 9

Fig 10

Fig 11

Fig 12

Fig 13

Table 2

Fig 14

Fig 15

Fig 16

Fig 17

Fig 18

Fig 19

Fig 20

Fig 21

Fig 22

Fig 23

References 29

1	ZOU L L, TAKAHASHI K, SATO M. Displacement measurement and monitoring with ground-based SAR: case study at Aratozawa. Proc. of the Asia-Pacific Microwave Conference, 2014, 1022- 1024.
2	LUZI G, PIERACCINI M, MECATTI D, et al. Monitoring of an Alpine Glacier by means of ground-based SAR interferometry. IEEE Geoscience and Remote Sensing Letters, 2007, 4 (3): 495- 499.
3	IGLESIAS R, AGUASCA A, FABREGAS X, et al. Ground-based polarimetric SAR interferometry for the monitoring of terrain displacement phenomena-part Ⅱ: applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8 (3): 994- 1007.
4	TARCHI D, OLIVERI F, SAMMARTINO P F. MIMO radar and ground-based SAR imaging systems: equivalent approaches for remote sensing. IEEE Trans. on Geoscience and Remote Sensing, 2013, 51 (1): 425- 435.
5	YITAYEW T G, FERRO-FAMIL L, ELTOFT T, et al. Tomographic imaging of Fjord ice using a very high-resolution ground-based SAR system. IEEE Trans. on Geoscience and Remote Sensing, 2017, 55 (2): 698- 714.
6	BAO Q, PENG X M, LIN Y, et al. Suboptimal aperture radar imaging by combination of pseudo-polar formatting and gridless sparse recovery method. Electronics Letters, 2016, 52 (9): 765- 766. doi: 10.1049/el.2016.0234
7	WANG Z, LI Z H, MILLS J. A new approach to selecting coherent pixels for ground-based SAR deformation monitoring. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 144, 412- 422. doi: 10.1016/j.isprsjprs.2018.08.008
8	CROSETTO M, MONSERRAT O, LUZI G, et al. Discontinuous GBSAR deformation monitoring. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 93, 136- 141. doi: 10.1016/j.isprsjprs.2014.04.002
9	LIU B, GE D Q, LI M, et al. Using GB-SAR technique to monitor displacementof open pit slope. Proc. of the IEEE International Geoscience and Remote Sensing Symposium, 2016, 5986- 5989.
10	LIU H, KOYAMA C, ZHU J F, et al. Post-earthquake damage inspection of wood frame buildings by a polarimetric GB-SAR system. Remote Sensing, 2016, 8 (11): 935- 946. doi: 10.3390/rs8110935
11	LUZI G, NOFERINI L, MECATTI D, et al. Using a ground-based SAR interferometer and a terrestrial laser scanner to monitor a snow-covered slope: results from an experimental data collection in Tyrol (Austria). IEEE Trans. on Geoscience and Remote Sensing, 2009, 47 (2): 382- 393.
12	TAKAHASHI K, MATSUMOTO M, SATO M. Continuous observation of natural-disaster-affected areas using ground-based SAR interferometry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6 (3): 1286- 1294.
13	PIPIA L, FABREGAS X, AGUASCA A, et al. Polarimetric temporal analysis of urban environments with a ground-based SAR. IEEE Trans. on Geoscience and Remote Sensing, 2013, 51 (4): 2343- 2360.
14	YUE J P, QIU Z W, WANG X Q, et al. Atmospheric phase correction using permanent scatterers in ground-based radar interferometry. Journal of Applied Remote Sensing, 2016, 10 (4): 046013- 046026.
15	IGLESIAS R, FABREGAS X, AGUASCA A, et al. Atmospheric phase screen compensation in ground-based SAR with a multiple-regression model over mountainous regions. IEEE Trans. on Geoscience and Remote Sensing, 2014, 52 (5): 2436- 2449.
16	WANG H Q, MÉRIC S, ALLAIN S, et al. Multi-angular ground-based SAR system for soil surface roughness characterization. Electronics Letters, 2015, 51 (15): 1197- 1199. doi: 10.1049/el.2015.1619
17	WANG Z, LI Z H, MILLS J P. A new nonlocal method for ground-based synthetic aperture radar deformation monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (10): 3769- 3781. doi: 10.1109/JSTARS.2018.2864740
18	FORTUNY-GUASCH J. A fast and accurate far-field pseudopolar format radar imaging algorithm. IEEE Trans. on Geoscience and Remote Sensing, 2009, 47 (4): 1187- 1196.
19	HAN K Y, WANG Y P, CHANG X K, et al. Generalized pseudopolar format algorithm for radar imaging with highly suboptimal aperture length. Science China Information Sciences, 2015, 58 (4): 63- 77.
20	ZENG T, MAO C, HU C, et al. Ground-based SAR wide view angle full-field imaging algorithm based on keystone formatting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (6): 2160- 2170. doi: 10.1109/JSTARS.2016.2558578
21	REALE D, SERAFINO F, PASCAZIO V. An accurate strategy for 3-D ground-based SAR imaging. IEEE Geoscience and Remote Sensing Letters, 2009, 6 (4): 681- 685.
22	MONTI GUARNIERI A, SCIRPOLI S. Efficient wave number domain focusing for ground-based SAR. IEEE Geoscience and Remote Sensing Letters, 2010, 7 (1): 161- 165.
23	GUO S C, DONG X C. Modified Omega-K algorithm for ground-based FMCW SAR imaging. Proc. of the IEEE 13th International Conference on Signal Processing, 2016, 1647- 1650.
24	ZENG T, MAO C, HU C, et al. Grating lobes suppression method for stepped frequency GB-SAR system. Journal of Systems Engineering and Electronics, 2014, 25 (6): 987- 995.
25	LUO Y H, SONG H J, WANG R, et al. Arc FMCW SAR and applications in ground monitoring. IEEE Trans. on Geoscience and Remote Sensing, 2014, 52 (9): 5989- 5998. doi: 10.1109/TGRS.2014.2325905
26	PIERACCINI M, MICCINESI L. ArcSAR: theory, simulations, and experimental verification. IEEE Trans. on Microwave Theory and Techniques, 2017, 65 (1): 293- 301. doi: 10.1109/TMTT.2016.2613926
27	WANG R, LOFFELD O, NIES H, et al. Focus FMCW SAR data using the wave number domain algorithm. IEEE Trans. on Geoscience and Remote Sensing, 2010, 48 (4): 2109- 2118.
28	CARRARAW G, GOODMAN R S, MAJEWSKI R M. Spotlight synthetic aperture radar: signal processing algorithms. London: Artech House, 1995.
29	ULANDER L M H, HELLSTEN H, STENSTROM G. Synthetic aperture radar processing using fast factorized back-projection. IEEE Trans. on Aerospace and Electronic Systems, 2003, 39 (3): 760- 776. doi: 10.1109/TAES.2003.1238734

Parameter	Value
Carrier frequency/GHz	17.5
Platform length/m	2
Radar velocity/(m/s)	0.03
Angle of azimuth beam/(°)	18
Transmitted bandwidth/MHz	500
Sampling frequency/MHz	50
Azimuth resolution/m	0.70
Slant-range/m	200
Range resolution/m	0.30

$\theta $	The proposed method		BP
$\theta $	$\rho _{a}$/m	PSLR	$\rho _{a}$/m	PSLR
60°	0.78	-13.0	0.70	-13.2
75°	0.76	-13.2	0.71	-13.2
90°	0.73	-13.2	0.70	-13.2
105°	0.72	-13.2	0.70	-13.2
120°	0.80	-13.0	0.70	-13.2

An approach to wide-field imaging of linear rail ground-based SAR in high squint multi-angle mode

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

Figures/Tables 25

References 29

Related Articles 0

Recommended Articles

Metrics

Comments