An RCS Measurement Method Using Sparse Imaging Based 3-D SAR Complex Image

被引:27
作者
Wang, Yangyang [1 ]
Zhang, Xiaoling [1 ]
Zhan, Xu [1 ]
Zhang, Tianwen [1 ]
Zhou, Liming [1 ]
Shi, Jun [1 ]
Wei, Shunjun [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
来源
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2022年 / 21卷 / 01期
基金
中国国家自然科学基金;
关键词
Imaging; Three-dimensional displays; Clutter; Synthetic aperture radar; Radar imaging; Scattering; Image reconstruction; Radar cross section (RCS); sparse imaging; synthetic aperture radar (SAR); three-dimensional (3-D) complex image; ALGORITHM;
D O I
10.1109/LAWP.2021.3115845
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Three-dimensional (3-D) synthetic aperture radar (SAR) near-field imaging provides a novel radar cross section (RCS) measurement method, which has been widely concerned in the microwave field. However, the accuracy of RCS measurement based on image is easily affected by sidelobes of matching filtering (MF) imaging and background clutter. Although the existing observation-matrix-based sparse SAR imaging algorithm can suppress sidelobes and clutter, it requires huge computational cost. To solve the above problems, an RCS measurement method using sparse imaging based 3-D SAR complex image is proposed. First, 3-D sparse imaging based complex image is used to suppress sidelobe and clutter of MF image. After that, the far-field RCS of the target is obtained by the compensation factor. Compared with the observation-matrix-based sparse SAR imaging algorithm, the proposed algorithm can reduce the computation time while retain the phase information of scene distribution. Compared with the RCS measurement based on MF image, the RCS measurement performance of the proposed method is improved. The simulation and real data of the system results validate the proposed method.
引用
收藏
页码:24 / 28
页数:5
相关论文
共 18 条
[1]   Near-Field 2-D-Lateral Scan System for RCS Measurement of Full-Scale Targets Located on the Ground [J].
Alvarez, Jesus .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2019, 67 (06) :4049-4058
[2]  
[Anonymous], 2020, IEEE Std 1588-2019 (Revision ofIEEE Std 1588-2008) IEEE Standard for a Precision Clock Synchronization Protocol for Networked Measurement and Control Systems, P1, DOI DOI 10.1109/IEEESTD.2020.9120376
[3]  
Bean JA, 2014, IEEE ANTENN PROPAG M, V56, P209
[4]   A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems [J].
Beck, Amir ;
Teboulle, Marc .
SIAM JOURNAL ON IMAGING SCIENCES, 2009, 2 (01) :183-202
[5]   Complex-Image-Based Sparse SAR Imaging and Its Equivalence [J].
Bi, Hui ;
Bi, Guoan ;
Zhang, Bingchen ;
Hong, Wen .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (09) :5006-5014
[6]   NEAR-FIELD SCATTERING MEASUREMENTS FOR DETERMINING COMPLEX TARGET RCS [J].
COWN, BJ ;
RYAN, CE .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1989, 37 (05) :576-585
[7]   Fast Compressed Sensing SAR Imaging Based on Approximated Observation [J].
Fang, Jian ;
Xu, Zongben ;
Zhang, Bingchen ;
Hong, Wen ;
Wu, Yirong .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (01) :352-363
[8]   Use of a Plane-Wave Synthesis Technique to Obtain Target RCS From Near-Field Measurements, With Selective Feature Extraction Capability [J].
Ford, Kenneth L. ;
Bennett, John C. ;
Holtby, Daniel G. .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2013, 61 (04) :2051-2057
[9]  
LaHaie I., 2005, Proceedings of the 27th Annual Meeting of the Antenna Measurement Techniques Association (AMTA'05), P196
[10]  
LaHaie I. J., 1995, P 17 ANN M ANT MEAS, P149