Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR

Tian He; Li Daojing

doi:10.12000/JR18101

Volume 7 Issue 6

Feb. 2019

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > Journal of Radars > 2018 > 7(6): 717-729

Xu Zhen, Wang Robert, Li Ning, et al.. A novel approach to change detection in SAR images with CNN classification[J]. Journal of Radars, 2017, 6(5): 483–491. DOI: 10.12000/JR17075

Citation:

Tian He, Li Daojing. Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR[J]. Journal of Radars, 2018, 7(6): 717-729. doi: 10.12000/JR18101

Xu Zhen, Wang Robert, Li Ning, et al.. A novel approach to change detection in SAR images with CNN classification[J]. Journal of Radars, 2017, 6(5): 483–491. DOI: 10.12000/JR17075

Citation:

Tian He, Li Daojing. Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR[J]. Journal of Radars, 2018, 7(6): 717-729. doi: 10.12000/JR18101

PDF( 3513 KB)

Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR

DOI: 10.12000/JR18101

Tian He^1
,,
Li Daojing^{2
,
,}

①.
Science and Technology on Electromagnetic Scattering Laboratory , Beijing Institute of Environmental Features, Beijing 100854, China
②.
Science and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190 , China

Funds: The National Natural Science Foundation of China (61271422), The Youth Innovation Foundation of 5th China High Resolution Earth Observation Conference

Received Date: 2018-11-27
Rev Recd Date: 2018-12-18
Publish Date: 2018-12-28

Abstract

Abstract

In this study, we adopt a criterion of Barker code to generate a high-resolution image from sparse flight samples to establish a three-dimensional (3-D) imaging model of airborne array SAR. Under the condition of motion error, we utilize the Modified Uniformly Redundant Arrays (MURA) modulation and 3-D Back Projection (BP) algorithm to obtain 3-D complex image pairs under each flight. Based on interferometry and Compressed Sensing (CS) in frequency domain, the array deformation error compensation is realized. The phases of 3-D complex image formed by the echo corresponding to negative MURA modulation are referred to perform phase compensation on each single-pass complex image to restore the image phase relation of each flight. Coherent accumulation of each complex image is implemented to realize high-resolution 3-D imaging under sparse flight sampling. Simulation analysis and experimental data verify the feasibility of the proposed method.
- SAR three-dimensional imaging,
- Sparse flight,
- Interferometry,
- Sparsity in frequency domain,
- Compressed sensing,
- Compensation of motion error

FullText(HTML)

References(28)

References

[1]	吴一戎, 洪文, 张冰尘, 等. 稀疏微波成像研究进展(科普类)[J]. 雷达学报, 2014, 3(4): 383–396. DOI: 10.3724/SP.J.1300.2014.14105 Wu Yi-rong, Hong Wen, Zhang Bing-chen, et al. Current developments of sparse microwave imaging[J]. Journal of Radars, 2014, 3(4): 383–396. DOI: 10.3724/SP.J.1300.2014.14105
[2]	Peng X M, Tan W X, Hong W, et al. Airborne DLSLA 3-D SAR image reconstruction by combination of polar formatting and L₁ regularization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 213–226. DOI: 10.1109/TGRS.2015.2453202
[3]	Li D J and Teng X M. Cross-track sparse flight simulation analysis for airborne sparse array downward-looking 3D imaging Radar[C]. Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada, 2011: 1686–1688.
[4]	张清娟, 李道京, 李烈辰. 连续场景的稀疏阵列SAR侧视三维成像研究[J]. 电子与信息学报, 2013, 35(5): 1097–1102. DOI: 10.3724/SP.J.1146.2012.01136 Zhang Qing-juan, Li Dao-jing, and Li Lie-chen. Research on continuous scene side-looking 3D imaging based on sparse array[J]. Journal of Electronics&Information Technology, 2013, 35(5): 1097–1102. DOI: 10.3724/SP.J.1146.2012.01136
[5]	李烈辰, 李道京. 基于压缩感知的连续场景稀疏阵列SAR三维成像[J]. 电子与信息学报, 2014, 36(9): 2166–2172. DOI: 10.3724/SP.J.1146.2013.01645 Li Lie-chen and Li Dao-jing. Sparse array SAR 3D imaging for continuous scene based on compressed sensing[J]. Journal of Electronics&Information Technology, 2014, 36(9): 2166–2172. DOI: 10.3724/SP.J.1146.2013.01645
[6]	Tian H and Li D J. Sparse flight array SAR downward-looking 3-D imaging based on compressed sensing[J].IEEE Geoscience and Remote Sensing Letters, 2016, 13(10): 1395–1399. DOI: 10.1109/LGRS.2016.2560238
[7]	Candès E and Romberg J. Sparsity and incoherence in compressive sampling[J]. Inverse Problems, 2007, 23(3): 969–985. DOI: 10.1088/0266-5611/23/3/008
[8]	Candes E J, Romberg J, and Tao T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489–509. DOI: 10.1109/TIT.2005.862083
[9]	Candes E J and Tao T. Near-optimal signal recovery from random projections: Universal encoding strategies?[J]. IEEE Transactions on Information Theory, 2006, 52(12): 5406–5425. DOI: 10.1109/TIT.2006.885507
[10]	Candes E J and Wakin M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21–30. DOI: 10.1109/MSP.2007.914731
[11]	Candès E. Compressive sampling[C]. Proceedings of the International Congress of Mathematicians, Madrid, Spain, 2006: 1–20.
[12]	Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289–1306. DOI: 10.1109/TIT.2006.871582
[13]	李学仕. 高分辨率宽测绘带SAR动目标处理方法研究[D]. [博士论文], 西安电子科技大学, 2015: 21–81. Li Xue-shi. Study on high-resolution wide-swath SAR moving target processing method[D]. [Ph.D. dissertation], Xidian University, 2015: 21–81.
[14]	韦顺军. 线阵三维合成孔径雷达稀疏成像技术研究[D]. [博士论文], 电子科技大学, 2013: 16–55. Wei Shun-jun. Research on linear array three-dimensional synthetic aperture radar sparse imaging technology[D]. [Ph.D. dissertation], University of Electronic Science and Technology of China, 2013: 16–55.
[15]	李道京, 滕秀敏, 潘舟浩. 分布式位置和姿态测量系统的概念与应用方向[J]. 雷达学报, 2013, 2(4): 400–405. DOI: 10.3724/SP.J.1300.2014.13094 Li Dao-jing, Teng Xiu-min, and Pan Zhou-hao. The concept and applications of distributed POS[J]. Journal of Radars, 2013, 2(4): 400–405. DOI: 10.3724/SP.J.1300.2014.13094
[16]	尹建凤, 张庆君, 刘杰, 等. 国外编队飞行干涉SAR卫星系统发展综述[J]. 航天器工程, 2018, 27(1): 116–122. DOI: 10.3969/j.issn.1673-8748.2018.01.016 Yin Jian-feng, Zhang Qing-jun, Liu Jie, et al. A review on development of formation flying interferometric SAR satellite system[J]. Spacecraft Engineering, 2018, 27(1): 116–122. DOI: 10.3969/j.issn.1673-8748.2018.01.016
[17]	Peterman D, James K, and Glavac V. Distortion measurement and compensation in a synthetic aperture radar phased-array antenna[C]. Proceedings of the 14th International Symposium on Antenna Technology and Applied Electromagnetics & the American Electromagnetics Conference, Ottawa, ON, Canada, 2010: 1–5.
[18]	田鹤, 李道京, 潘洁, 等. 基于修正均匀冗余阵列正反编码的稀疏阵列SAR下视三维成像处理[J]. 电子与信息学报, 2017, 39(9): 2203–2211. DOI: 10.11999/JEIT161209 Tian He, Li Dao-jing, Pan Jie, et al. Downward-looking 3D imaging processing of sparse array SAR based on modified uniformly redundant arrays positive and negative coding[J]. Journal of Electronics&Information Technology, 2017, 39(9): 2203–2211. DOI: 10.11999/JEIT161209
[19]	Tian H, Li D J, and Hu X. Microwave three-dimensional imaging under sparse sampling based on MURA code[C]. Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 2016: 7411–7414.
[20]	Golomb S and Scholtz R. Generalized Barker sequences[J]. IEEE Transactions on Information Theory, 1965, 11(4): 533–537. DOI: 10.1109/TIT.1965.1053828
[21]	Ulander L M H, Hellsten H, and Stenstrom G. Synthetic-aperture radar processing using fast factorized back-projection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(3): 760–776. DOI: 10.1109/TAES.2003.1238734
[22]	Teixeira R M A and Aizawa K. Noise attenuation performance of mura apertures in photographic cameras[C]. Proceedings of the 19th IEEE International Conference on Image Processing, Orlando, FL, USA, 2012: 361–364.
[23]	Candes E J and Tao T. Decoding by linear programming[J]. IEEE Transactions on Information Theory, 2005, 51(12): 4203–4215. DOI: 10.1109/TIT.2005.858979
[24]	周建卫, 李道京, 田鹤, 等. 基于共形稀疏阵列的艇载外辐射源雷达性能分析[J]. 电子与信息学报, 2017, 39(5): 1058–1063. DOI: 10.11999/JEIT160846 Zhou Jian-wei, Li Dao-jing, Tian He, et al. Performance analysis on airship-borne passive radar based on conformal sparse array[J]. Journal of Electronics&Information Technology, 2017, 39(5): 1058–1063. DOI: 10.11999/JEIT160846
[25]	Lucido M, Meglio F, Pascazio V, et al. Closed-form evaluation of the second-order statistical distribution of the interferometric phases in dual-Baseline SAR systems[J]. IEEE Transactions on Signal Processing, 2010, 58(3): 1698–1707. DOI: 10.1109/TSP.2009.2037849
[26]	Rousseau D, Delahaies A, and Chapeau-Blondeau F. Structural similarity measure to assess improvement by noise in nonlinear image transmission[J]. IEEE Signal Processing Letters, 2010, 17(1): 36–39. DOI: 10.1109/LSP.2009.2031734
[27]	Hu C F, Xu J D, Li N J, et al.. Hard-in-loop polarization linear SAR imaging system[C]. Proceedings of the 2nd Asian-Pacific Conference on Synthetic Aperture Radar, Xian, Shanxi, China, 2009: 64–66.
[28]	陈弓, 戴晨光, 刘航冶. 雷达阵地场景三维可视化系统的实现[J]. 空军雷达学院学报, 2007, 21(4): 248–251. DOI: 10.3969/j.issn.1673-8691.2007.04.005 Chen Gong, Dai Chen-guang, and Liu Hang-zhi. Implementation on radar site 3D visualization simulation system[J]. Journal of Air Force Radar Academy, 2007, 21(4): 248–251. DOI: 10.3969/j.issn.1673-8691.2007.04.005

Relative Articles

[1]	WANG Mou, WEI Shunjun, SHEN Rong, ZHOU Zichen, SHI Jun, ZHANG Xiaoling. 3D SAR Imaging Method Based on Learned Sparse Prior[J]. Journal of Radars, 2023, 12(1): 36-52. doi: 10.12000/JR22101
[2]	Hong Wen, Wang Yanping, Lin Yun, Tan Weixian, Wu Yirong. Research Progress on Three-dimensional SAR Imaging Techniques[J]. Journal of Radars, 2018, 7(6): 633-654. doi: 10.12000/JR18109
[3]	Yan Min, Wei Shunjun, Tian Bokun, Zhang Xiaoling, Shi Jun. LASAR High-resolution 3D Imaging Algorithm Based on Sparse Bayesian Regularization[J]. Journal of Radars, 2018, 7(6): 705-716. doi: 10.12000/JR18067
[4]	Wei Shunjun, Tian Bokun, Zhang Xiaoling, Shi Jun. Compressed Sensing Linear Array SAR Autofocusing Imaging via Semi-definite Programming[J]. Journal of Radars, 2018, 7(6): 664-675. doi: 10.12000/JR17103
[5]	Liu Qiyong, Zhang Qun, Hong Wen, Su Linghua, Liang Jia. DLSLA 3D SAR Motion Error Compensation and Imaging Method Based on Parameter Estimation[J]. Journal of Radars, 2018, 7(6): 730-739. doi: 10.12000/JR18107
[6]	Tian He, Li Daojing, Qi Chunchao. Millimeter-wave Human Security Imaging Based on Frequency-domain Sparsity and Rapid Imaging Sparse Array Architecture[J]. Journal of Radars, 2018, 7(3): 376-386. doi: 10.12000/JR17082
[7]	Li Hang, Liang Xingdong, Zhang Fubo, Wu Yirong. 3D Imaging for Array InSAR Based on Gaussian Mixture Model Clustering[J]. Journal of Radars, 2017, 6(6): 630-639. doi: 10.12000/JR17020
[8]	Liu Xiangyang, Yang Jungang, Meng Jin, Zhang Xiao, Niu Dezhi. Sparse Three-dimensional Imaging Based on Hough Transform for Forward-looking Array SAR in Low SNR[J]. Journal of Radars, 2017, 6(3): 316-323. doi: 10.12000/JR17011
[9]	Hu Jingqiu, Liu Falin, Zhou Chongbin, Li Bo, Wang Dongjin. CS-SAR Imaging Method Based on Inverse Omega-K Algorithm[J]. Journal of Radars, 2017, 6(1): 25-33. doi: 10.12000/JR16027
[10]	Yang Jun, Zhang Qun, Luo Ying, Deng Donghu. Method for Multiple Targets Tracking in Cognitive Radar Based on Compressed Sensing[J]. Journal of Radars, 2016, 5(1): 90-98. doi: 10.12000/JR14107
[11]	Zhang Zenghui, Yu Wenxian. Feature Understanding and Target Detection for Sparse Microwave Synthetic Aperture Radar Images[J]. Journal of Radars, 2016, 5(1): 42-56. doi: 10.12000/JR15097
[12]	Li Liechen, Li Daojing, Huang Pingping. Airship Sparse Array Antenna Radar Real Aperture Imaging Based on Compressed Sensing and Sparsity in Transform Domain[J]. Journal of Radars, 2016, 5(1): 109-117. doi: 10.12000/JR14159
[13]	Xiao Peng, Wu Youming, Yu Ze, Li Chunsheng. Azimuth Ambiguity Suppression in SAR Images Based on Compressive Sensing Recovery Algorithm[J]. Journal of Radars, 2016, 5(1): 35-41. doi: 10.12000/JR16004
[14]	Gu Fufei, Zhang Qun, Yang Qiu, Huo Wenjun, Wang Min. Compressed Sensing Imaging Algorithm for High-squint SAR Based on NCS Operator[J]. Journal of Radars, 2016, 5(1): 16-24. doi: 10.12000/JR15035
[15]	Wang Aichun, Xiang Maosheng. SAR Tomography Based on Block Compressive Sensing[J]. Journal of Radars, 2016, 5(1): 57-64. doi: 10.12000/JR16006
[16]	Zhou Hui, Zhao Feng-jun, Yu Wei-dong, Yang Jian. SAR Imaging of Ground Moving Targets with Non-ideal Motion Error Compensation(in English)[J]. Journal of Radars, 2015, 4(3): 265-275. doi: 10.12000/JR15024
[17]	Ding Zhen-yu, Tan Wei-xian, Wang Yan-ping, Hong Wen, Wu Yi-rong. Yaw Angle Error Compensation for Airborne 3-D SAR Based on Wavenumber-domain Subblock[J]. Journal of Radars, 2015, 4(4): 467-473. doi: 10.12000/JR15016
[18]	Wu Yi-rong, Hong Wen, Zhang Bing-chen, Jiang Cheng-long, Zhang Zhe, Zhao Yao. Current Developments of Sparse Microwave Imaging[J]. Journal of Radars, 2014, 3(4): 383-395. doi: 10.3724/SP.J.1300.2014.14105
[19]	Zhao Yao, Zhang Bing-chen, Hong Wen, Wu Yi-rong. RIPless Based Radar Waveform Analysis in Sparse Microwave Imaging[J]. Journal of Radars, 2013, 2(3): 265-270. doi: 10.3724/SP.J.1300.2013.13032
[20]	Zhong Li-hua, Hu Dong-hui, Ding Chi-biao, Zhang Wen-yi. ISAR Sparse Aperture Imaging Algorithm for Large Size Target[J]. Journal of Radars, 2012, 1(3): 292-300. doi: 10.3724/SP.J.1300.2012.20033

Supplements(0)

Cited By

Cited by

Periodical cited type(7)

1.	黄钟泠，吴冲，姚西文，王立鹏，韩军伟. 基于时频分析的SAR目标微波视觉特性智能感知方法与应用. 雷达学报. 2024(02): 331-344 . 本站查看
2.	丁柏圆，周春雨. 结合三维电磁散射模型和深度学习的SAR目标识别框架设计. 航天电子对抗. 2024(02): 34-38+64 .
3.	张旭，徐丰，金亚秋. 典型几何基元的高频散射建模方法梳理. 雷达学报. 2022(01): 126-143 . 本站查看
4.	顾丹丹，廖意，王晓冰. 雷达目标特性知识引导的智能识别技术进展与思考. 制导与引信. 2022(04): 57-64 .
5.	邢孟道，谢意远，高悦欣，张金松，刘嘉铭，吴之鑫. 电磁散射特征提取与成像识别算法综述. 雷达学报. 2022(06): 921-942 . 本站查看
6.	陆金文，闫华，殷红成，张磊，董纯柱. 用于三维散射中心SBR建模的边缘绕射修正. 西安电子科技大学学报. 2021(02): 117-124+189 .
7.	陆金文，闫华，张磊，殷红成. 基于弹跳射线技术的三维GTD模型构建方法. 系统工程与电子技术. 2021(08): 2028-2036 .

Other cited types(4)

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(2828) PDF downloads(250)