Low-Complexity Forward-Looking Volumetric SAR for High Resolution 3-D Radar Imaging

被引:3
作者
Albaba, Adnan [1 ]
Bauduin, Marc [2 ]
Sahli, Hichem [1 ]
Bourdoux, Andre [2 ]
机构
[1] ETRO VUB, Imec Leuven, Leuven, Belgium
[2] Imec Leuven, Leuven, Belgium
来源
2023 IEEE RADAR CONFERENCE, RADARCONF23 | 2023年
关键词
Radar imaging; FL-SAR; DBS; synthetic aperture radar; angular resolution; MIMO; complexity reduction; backprojection; 3D image reconstruction; volumetric SAR;
D O I
10.1109/RADARCONF2351548.2023.10149651
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this paper, the three-dimensional (3-D) imaging problem of monostatic forward-looking synthetic aperture radar (FL-SAR) is analyzed. A 3-D guided-and-decimated back-projection (3-D GDBP) algorithm is proposed for reducing the computational complexity of 3-D FL-SAR image reconstruction. This is done by combining range and Doppler processing together with decimation along the slow-time samples and backprojection along the fast-time samples. In addition, the geometry and frequency-modulated continuous wave (FMCW) signal model for the 3-D FL-SAR problem are presented. Finally, the performance of the proposed method is tested and compared against the 3-D decimated backprojection algorithm.
引用
收藏
页数:6
相关论文
共 50 条
[21]   Balanced Tikhonov and Total Variation Deconvolution Approach for Radar Forward-Looking Super-Resolution Imaging [J].
Huo, Weibo ;
Tuo, Xingyu ;
Zhang, Yin ;
Zhang, Yongchao ;
Huang, Yulin .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
[22]   Low-complexity sparse reconstruction for high-resolution multi-static passive SAR imaging* [J].
Xinhua Mao ;
Yimin D Zhang ;
Moeness G Amin .
EURASIP Journal on Advances in Signal Processing, 2014
[23]   A Fast Back-projection Algorithm for Bistatic Forward-looking Low Frequency UWB SAR Imaging [J].
Feng, Dong ;
Xie, Hongtu ;
An, Daoxiang ;
Huang, Xiaotao .
2015 16TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2015, :1135-1140
[24]   A Fast Forward-looking Super-resolution Imaging Method for Scanning Radar based on Low-rank Approximation with Least Squares [J].
Tuo, Xingyu ;
Zhang, Yin ;
Huang, Yulin .
2020 IEEE RADAR CONFERENCE (RADARCONF20), 2020,
[25]   A Super-Resolution Scheme for Multichannel Radar Forward-Looking Imaging Considering Failure Channels and Motion Error [J].
Chen, Rui ;
Li, Wenchao ;
Li, Kefeng ;
Zhang, Yongchao ;
Yang, Jianyu .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20
[26]   A Super-Resolution Scheme for Multichannel Radar Forward-Looking Imaging Considering Failure Channels and Motion Error [J].
Chen, Rui ;
Li, Wenchao ;
Li, Kefeng ;
Zhang, Yongchao ;
Yang, Jianyu .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20
[27]   Resolution Enhancement for Forward-Looking Imaging of Airborne Multichannel Radar via Space-Time Reiterative Superresolution [J].
Ren, Lingyun ;
Wu, Di ;
Zhu, Daiyin .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 :15288-15300
[28]   Vital Signs Detection Based on High-Resolution 3-D mmWave Radar Imaging [J].
Rong, Yu ;
Lenz, Isabella ;
Bliss, Daniel W. .
2022 IEEE INTERNATIONAL SYMPOSIUM ON PHASED ARRAY SYSTEMS & TECHNOLOGY (PAST), 2022,
[29]   Forward-Looking Super-Resolution Imaging Based on Echo Denoising and Noise Weighting at Low SNR [J].
Tang, Junkui ;
Liu, Zheng ;
Ran, Lei ;
Xie, Rong ;
Qin, Jikai .
IEEE SENSORS JOURNAL, 2023, 23 (03) :3115-3127
[30]   Efficient forward-looking imaging via synthetic bandwidth azimuth modulation imaging radar for high-speed platform [J].
Chen, Hongmeng ;
Lu, Yaobing ;
Mu, Heqiang ;
Yi, Xiaoli ;
Liu, Jing ;
Wang, Zeyu ;
Li, Ming ;
Wu, Yan .
SIGNAL PROCESSING, 2017, 138 :63-70