The Method on Echo Sparse Sampling and Three-Dimensional Imaging for Forward-Looking Array SAR
LIU Xiang-yang1, WANG Jing2, NIU De-zhi1, DU Yu-yang1, LIU Xu-gang1
1. Xi'an Communication Institute, Xi'an, Shaanxi 710106, China;
2. School of Information Engineering, Chang'an University, Xi'an, Shaanxi 710064, China
For the problem of high slant-range sampling ratio and huge echo data volume in the high-resolution three-dimensional imaging system of forward-looking array SAR,the joint two-dimensional sparse sampling method in the domain of slant-range frequency and along-track time and its sparse reconstruction method for the three-dimensional imaging of the scene is presented,which is based on the sparse property of the scatterers in the three-dimensional space.From the perspective of forward-looking array SAR to observe the three-dimensional ground,the scatterers in the ground are sparse in the joint space of the slant-range direction and the along-track direction.To avoid the effect of the sparse sampling in the slant-range direction on the three-dimensional imaging,the solution of sub-pulse technique and the sparse sampling in the slant-range frequency is presented to accomplish the sparse sampling in the slant-range direction.Also,the sparse reconstruction method,which is combined with the continuity of the scatterers,is proposed to increase the robustness in the situation of low signal-to-noise ratio.Compared to the traditional imaging method with three-dimensional matched filtering,the method in this paper reduces the slant-range sampling ratio and the echo data volume,and the three-dimensional image can be directly reconstructed using the recovered scatterers.
刘向阳, 王静, 牛德智, 杜宇扬, 刘许刚. 前视阵列SAR回波稀疏采样及其三维成像方法[J]. 电子学报, 2017, 45(1): 74-82.
LIU Xiang-yang, WANG Jing, NIU De-zhi, DU Yu-yang, LIU Xu-gang. The Method on Echo Sparse Sampling and Three-Dimensional Imaging for Forward-Looking Array SAR. Acta Electronica Sinica, 2017, 45(1): 74-82.
[1] Krieger G,Mittermayer J,Wendler M,et al.SIREV-sector imaging radar for enhanced vision[J].Aerospace Science and Technology,2003,7(2):147-158.
[2] Ren Xiaozhen,Sun Jiantao,Yang Ruliang.A new three-dimensional imaging algorithm for airborne forward-looking SAR[J].IEEE Geoscience and Remote Sensing Letters,2011,8(1):153-157.
[3] Reigber A.Airborne Polarimetric SAR Tomography[D].Stuttgart:PhD Dissertation of University of Stuttgart,2001.
[4] Wei Shunjun,Zhang Xiaoling,Shi Jun.Linear array SAR imaging via compressed sensing[J].Progress in Electroma-gnetics Research,2011,117:299-319.
[5] 任笑真,杨汝良.机载前视SAR三维成像算法研究[J].电子与信息学报,2010,32(6):1361-1365. Ren Xiao-zhen,Yang Ru-liang.Study on three-dimensional imaging algorithm for airborne forward-looking SAR[J].Journal of Electronics and Information Technology,2010,32(6):1361-1365.(in Chinese)
[6] Tan Weixian,Hong Wen,Wang Yanping,et al.3-D range stacking algorithm for forward-looking SAR 3-D imaging[A].IEEE International Geoscience and Remote Sensing Symposium[C].Boston,USA:IEEE Press,2008.1212-1215.
[7] 刘向阳,曾操,毛志杰,王静,康连瑞.基于高分辨信源估计的机载前视阵列雷达三维成像方法[J].电子学报,2013,41(6):1048-1055. Liu Xiang-yang,Zeng Cao,Mao Zhi-jie,et al.A three-dimensional imaging method based on high resolution signal source estimation for airborne forward-looking array radar[J].Acta Electronica Sinica,2013,41(6):1048-1055.(in Chinese)
[8] 陈琦,杨汝良.机载前视合成孔径雷达Chirp Scaling成像算法研究[J].电子与信息学报,2008,30(1):228-232. Chen Qi,Yang Ru-liang.Research of chirp scaling imaging algorithm for airborne forward-looking SAR[J].Journal of Electronics and Information Technology,2008,30(1):228-232.(in Chinese)
[9] 徐刚,李亚超,张磊,邢孟道.基于多视角快拍InSAR干涉技术的前视SAR三维成像[J].电子与信息学报,2011,33(3):634-641. Xu Gang,Li Ya-chao,et al.Three-dimension imaging of forward-looking SAR based on interferometric technology through different snapshots[J].Journal of Electronics and Information Technology,2011,33(3):634-641.(in Chinese)
[10] Cai T T,Wang L.Orthogonal matching pursuit for sparse signal recovery with noise[J].IEEE Transcations on Information Theory,2011,57(7):4680-4688.
[11] Fang Jian,Xu Zongben,Zhang Bingchen,et al.Fast compressed sensing SAR imaging based on approximated observation[J].IEEE Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(1):352-363.
[12] 刘天鹏,刘振,魏玺章.基于压缩感知的脉间捷变频SAR成像研究[J].电子学报,2012,40(6):1073-1078. Liu Tian-peng,Liu Zhen,Wei Xi-zhang.Research on intepulse frequency agility SAR imaging via compressed sensing[J].Acta Electronica Sinica,2012,40(6):1073-1078.(in Chinese)
[13] 樊甫华,阮怀林.低信噪比下非凸化压缩感知超宽带信道估计方法[J].电子学报,2014,42(2):353-359. Fan Fu-hua,Ruan Huai-lin.Non-convex compressive sensing ultra-wide band channel estimation method in low SNR conditions[J].Acta Electronica Sinica,2014,42(2):353-359.(in Chinese)
[14] Franceschetti G,Migliaccio M.SARAS:A synthetic aperture radar (SAR) raw signal simulator[J].IEEE Transactions on GRS,1992,30(1):110-123.
2017, Vol. 45 
