Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (2): 425-436.doi: 10.23919/JSEE.2021.000036
• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles Next Articles
Xingyu ZHOU1(
), Yong WANG1,*(), Xiaofei LU2()
Received:2020-08-12
Online:2021-04-29
Published:2021-04-29
Contact:
Yong WANG
E-mail:zhou_xingy@163.com;wangyong6012@hit.edu.cn;luxf08@163.com
About author:Supported by: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.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Fig.1
Near-field imaging geometry"
Fig.2
Point-scatterer model of the target"
Fig.3
Imaging results of the far-field and near-field turntable model with the R-D algorithm"
Fig.4
Imaging geometry of the near-field target"
Fig.5
Spatial resolution of the near-field imaging"
Fig.6
Coordinate conversion and image interpolation of the R-D image"
Fig.7
Bi-cubic image interpolation"
Fig.8
Flowchart of ISAR imaging algorithm for near-field targets"
Table 1
Spatial coordinates in different scenarios"
| Scenario | Coordinate | Scenario | Coordinate | |
| Scenario 1 | | Scenario 4 | | |
| Scenario 2 | | Scenario 5 | | |
| Scenario 3 | | Scenario 6 | |
Fig.9
Imaging geometry in Scenario 1 and imaging results based on the R-D algorithm, the proposed method, and the BP algorithm"
Fig.9
"
Table 2
Image entropies of different algorithms"
| Scenario | The proposed method | BP algorithm |
| Scenario 1 | 5.522 1 | 5.700 6 |
| Scenario 2 | 5.928 1 | 6.056 6 |
| Scenario 3 | 6.500 9 | 6.526 1 |
| Scenario 4 | 5.976 2 | 6.270 2 |
| Scenario 5 | 6.202 4 | 6.575 2 |
| Scenario 6 | 6.726 1 | 7.015 7 |
Table 3
Time consumed of different algorithms"
| Scenario | The proposed method/s | BP algorithm/s |
| Scenario 1 | 0.011 0 | 2.254 0 |
| Scenario 2 | 0.015 0 | 2.277 0 |
| Scenario 3 | 0.010 0 | 2.226 0 |
| Scenario 4 | 0.010 0 | 2.253 0 |
| Scenario 5 | 0.010 0 | 2.224 0 |
| Scenario 6 | 0.011 0 | 2.246 0 |
Fig.10
Imaging geometry in Scenario 2 and imaging results based on the R-D algorithm, the proposed method, and the BP algorithm"
Fig.11
Imaging geometry in Scenario 3 and imaging results based on R-D algorithm, the proposed method, and the BP algorithm"
Fig.12
Imaging geometry in Scenario 4 and imaging results based on the R-D algorithm, the proposed method, and the BP algorithm"
Fig.13
Imaging geometry in Scenario 5 and imaging results based on the R-D algorithm, the proposed method, and the BP algorithm"
Fig.14
Imaging geometry in Scenario 6 and imaging results based on the R-D algorithm, the proposed method, and the BP algorithm"
Fig.15
Average image entropy versus SNR"
| 1 |
WALKER J L Range-Doppler imaging of rotating objects. IEEE Trans. on Aerospace and Electronic Systems, 1980, 16 (1): 23- 52.
doi: 10.1109/TAES.1980.308875 |
| 2 | DEMIRCI S, CETINKAYA H, TEKBAS M, et al. Back-projection algorithm for ISAR imaging of near-field concealed objects. Proc. of the URSI General Assembly and Scientific Symposium, 2011: 1−4. |
| 3 |
DEMIRCI S, CETINKAYA H, YIGIT E, et al A study on millimeter-wave imaging of concealed objects: application using back-projection algorithm. Progress in Electromagnetics Research, 2012, 128, 457- 477.
doi: 10.2528/PIER12050210 |
| 4 |
SHEEN D M, MCMAKIN D L, HALL T E Three-dimensional millimeter-wave imaging for concealed weapon detection. IEEE Trans. on Microwave Theory Techniques, 2001, 49 (9): 1581- 1592.
doi: 10.1109/22.942570 |
| 5 | BROQUETAS A, PALAU J, JOFRE L, et al Spherical wave near-field imaging and radar cross-section measurement. IEEE Trans. on Antennas & Propagation, 1998, 46 (5): 730- 735. |
| 6 | VAUPEL T, EIBERT T F Comparison and application of near-dield ISAR imaging techniques for far-field radar cross section determination. IEEE Trans. on Antennas & Propagation, 2006, 54 (1): 144- 151. |
| 7 | WEI B, ZHENG L, WANG K Y, et al A new method for detecting plane target by imaging in laser fuze. Opto-Electronic Engineering, 2005, 32 (1): 36- 39. |
| 8 | HONG L, ZHANG S F, ZHANG Y X. Infrared imaging fuze. Aero Weaponry, 2005 (1): 13−15. (in Chinese) |
| 9 | CUI Y J, WU Z W, WANG G M, et al. Application of near-field target characteristic in missile-target encounter simulation for fuse. Proc. of the International Applied Computational Electromagnetics Society Symposium, 2017: 1−2. |
| 10 | BROQUETAS A, JOFRE L, CARDAMA A. A near field spherical wave inverse synthetic aperture radar technique. Proc. of the IEEE Antennas & Propagation Society International Symposium, 1992, 2: 1114−1117. |
| 11 |
FORTUNY J An efficient 3-D near-field ISAR algorithm. IEEE Trans. on Aerospace and Electronic Systems, 1998, 34 (4): 1261- 1270.
doi: 10.1109/7.722713 |
| 12 | ZHANG B, PI Y M, LI J Terahertz inverse synthetic aperture radar near-field imaging algorithm using Green’s function decomposition. Journal of Signal Processing, 2014, 30 (9): 993- 999. |
| 13 |
DESAI M D, JENKINS W K Convolution backprojection image reconstruction for spotlight mode synthetic aperture radar. IEEE Trans. on Image Processing, 1992, 1 (4): 505- 517.
doi: 10.1109/83.199920 |
| 14 |
CHO B L, CHOI I S, ROTHWELL E J Enhanced ISAR imaging method using back-projection and SVA algorithm. Microwave and Optical Technology Letters, 2015, 57 (4): 993- 997.
doi: 10.1002/mop.28993 |
| 15 |
ZHANG B, PI Y M, LI J Terahertz imaging radar with inverse aperture synthesis techniques: system structure, signal processing, and experiment results. IEEE Sensors Journal, 2015, 15 (1): 290- 299.
doi: 10.1109/JSEN.2014.2342495 |
| 16 |
KEYS R G Cubic convolution interpolation for digital image processing. IEEE Trans. on Acoustics, Speech, and Signal Processing, 1981, 29 (6): 1153- 1160.
doi: 10.1109/TASSP.1981.1163711 |
| 17 |
PANG Z Y, TAN H Z, CHEN D H An improved low-cost adaptive bicubic interpolation arithmetic and VLSI implementation. Acta Automatica Sinica, 2013, 39 (4): 407- 417.
doi: 10.1016/S1874-1029(13)60040-3 |
| [1] | 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. |
| [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] | 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-. |
| [8] | 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-. |
| [9] | 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. |
| [10] | 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. |
| [11] | 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. |
| [12] | 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. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
