| Citation: | Wen JIANG, Jie NIU, Yirong WU, Xingdong LIANG. Joint Estimation Algorithm for Azimuth Velocity and Normal Velocity of Moving Targets in Airborne Multi-channel SAR[J]. Journal of Electronics & Information Technology, 2020, 42(6): 1542-1548. doi: 10.11999/JEIT190672
|
Parameter estimation is essential for SAR imaging of moving targets. The existing algorithms mainly estimate the radial velocity and azimuth velocity of the moving target, but the normal velocity of the three-dimensional moving target can not be estimated. In this paper, a joint estimation algorithm of azimuth velocity and normal velocity is proposed by using an airborne multi-channel SAR system with L-shaped baseline. The algorithm extracts the moving target signal in Range-Doppler domain, and estimates the azimuth and normal velocity jointly using the phase differences between multiple SAR images. The algorithm does not rely on image registration, does not need to solve Doppler ambiguity. Therefore, the algorithm has high estimation accuracy and robustness, and has strong practical significance and application value.
|
PERRY R P, DIPIETRO R C, and FANTE R L. SAR imaging of moving targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(1): 188–200. doi: 10.1109/7.745691
|
|
FIENUP J R. Detecting moving targets in SAR imagery by focusing[J]. IEEE Transactions on Aerospace and Electronic Systems, 2001, 37(3): 794–809. doi: 10.1109/7.953237
|
|
JAO J K. Theory of synthetic aperture radar imaging of a moving target[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(9): 1984–1992. doi: 10.1109/36.951089
|
|
MARQUES P A C and DIAS J M B. Velocity estimation of fast moving targets using a single SAR sensor[J]. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(5): 75–89. doi: 10.1109/TAES.2005.1413748
|
|
BARBAROSSA S and FARINA A. Detection and imaging of moving objects with synthetic aperture radar. 2. Joint time-frequency analysis by wigner-ville distribution[J]. IEE Proceedings F - Radar and Signal Processing, 1992, 139(1): 89–97. doi: 10.1049/ip-f-2.1992.0011
|
|
WANG Zhirui, XIA Xianggen, XU Jia, et al. Ground moving target imaging based on 2-D velocity search in high resolution SAR[C]. 2017 IEEE Radar Conference, Seattle, USA, 2017: 68–72.
|
|
SHI Hongyin, YANG Xiaoyan, ZHOU Qiuxiao, et al. SAR slow moving target imaging based on over-sampling smooth algorithm[J]. Chinese Journal of Electronics, 2017, 26(4): 876–882. doi: 10.1049/cje.2017.06.005
|
|
YANG Wei, CHEN Jie, LIU Wei, et al. Moving target azimuth velocity estimation for the MASA mode based on sequential SAR images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(6): 2780–2790. doi: 10.1109/JSTARS.2016.2641744
|
|
SU Jia, TAO Haihong, WANG Ling, et al. Coherently integrated cubic function based doppler parameters estimation for moving-target imaging[C]. 2017 International Applied Computational Electromagnetics Society Symposium, Suzhou, China, 2017: 1–2.
|
|
WANG Hanyun and JIANG Yicheng. Real-time parameter estimation for SAR moving target based on WVD slice and FrFT[J]. Electronics Letters, 2018, 54(1): 47–49. doi: 10.1049/el.2017.1740
|
|
LI Zhongyu, WU Junjie, LIU Zhutian, et al. An optimal 2-D spectrum matching method for SAR ground moving target imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(10): 5961–5974. doi: 10.1109/TGRS.2018.2829166
|
|
魏翔飞, 王小青, 种劲松. 一种基于局域中心频率的SAR图像舰船方位向速度估计方法[J]. 电子与信息学报, 2018, 40(9): 2242–2249. doi: 10.11999/JEIT170991
WEI Xiangfei, WANG Xiaoqing, and CHONG Jinsong. Ship azimuthal speed estimation method based on local region doppler centroid in SAR images[J]. Journal of Electronics &Information Technology, 2018, 40(9): 2242–2249. doi: 10.11999/JEIT170991
|
|
王超, 王岩飞, 王琦, 等. 基于回波序列最小二乘拟合的高分辨率SAR运动目标速度估计[J]. 电子与信息学报, 2019, 41(5): 1055–1062. doi: 10.11999/JEIT180695
WANG Chao, WANG Yanfei, WANG Qi, et al. Velocity estimation of moving targets based on least square fitting of high-resolution SAR echo sequences[J]. Journal of Electronics &Information Technology, 2019, 41(5): 1055–1062. doi: 10.11999/JEIT180695
|
|
HE Xiongpeng, LIAO Guisheng, XU Jingwei, et al. Robust radial velocity estimation based on joint-pixel normalized sample covariance matrix and shift vector for moving targets[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(2): 221–225. doi: 10.1109/LGRS.2018.2871950
|
|
WANG Genyuan, XIA Xianggen, and CHEN V C. Three-dimensional ISAR imaging of maneuvering targets using three receivers[J]. IEEE Transactions on Image Processing, 2001, 10(3): 436–447. doi: 10.1109/83.908519
|
|
ZHANG Qun and YEO T S. Three-dimensional SAR imaging of a ground moving target using the InISAR technique[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(9): 1818–1828. doi: 10.1109/TGRS.2004.831863
|
|
ZHANG Qun, YEO T S, DU Gan, et al. Estimation of three-dimensional motion parameters in interferometric ISAR imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(2): 292–300. doi: 10.1109/TGRS.2003.815669
|
|
汤立波, 李道京, 洪文, 等. 基于顺轨-交轨InSAR技术的运动舰船目标三维成像[J]. 系统工程与电子技术, 2008, 30(9): 1669–1673. doi: 10.3321/j.issn:1001-506X.2008.09.017
TANG Libo, LI Daojing, HONG Wen, et al. Three-dimensional imaging of moving ships with 3D motion based on AT-CT InSAR[J]. Systems Engineering and Electronics, 2008, 30(9): 1669–1673. doi: 10.3321/j.issn:1001-506X.2008.09.017
|
|
尹建凤, 李道京, 王爱明, 等. 基于星载毫米波顺轨-交轨InISAR的空间运动目标三维成像技术研究[J]. 宇航学报, 2013, 34(2): 237–245. doi: 10.3873/j.issn.1000-1328.2013.02.013
YIN Jianfeng, LI Daojing, WANG Aiming, et al. Three-dimensional imaging technique of space moving target based on spaceborne along-cross track millimeter-wave In-ISAR[J]. Journal of Astronautics, 2013, 34(2): 237–245. doi: 10.3873/j.issn.1000-1328.2013.02.013
|
Figures(8) / Tables(4)
DownLoad:
