A New Fast Factorized Back Projection Algorithm for Bistatic Forward-Looking SAR Imaging Based on Orthogonal Elliptical Polar Coordinate
A New Fast Factorized Back Projection Algorithm for Bistatic Forward-Looking SAR Imaging Based on Orthogonal Elliptical Polar Coordinate
复制标题
基于正交椭圆极坐标的双基地前视SAR成像快速分解反投影算法
DOI：
10.1109/jstars.2019.2907138
复制
发表时间：
2019-04
影响因子：
5.5
通讯作者：
Mengdao Xing
中科院分区：
文献类型：
--
作者：
Song Zhou;Lei Yang;Lifan Zhao;Yuhao Wang;Huilin Zhou;Liangbin Chen;Mengdao Xing
双基地前视合成孔径雷达（BFSAR）具有灵活的双基地结构和复杂的运动轨迹，时域算法在双基地前视合成孔径雷达（BFSAR）应用中具有显著的聚焦性能优势。提出了一种基于正交椭圆极坐标的快速因子分解反投影算法。由于OEP系统的正交性，BFSAR子图像的频谱可以被压缩到最小范围内，并且FFBP递归可以利用很低的Nyquist采样率。与传统的基于椭圆极坐标的FFBP算法相比，OEP算法的计算量显著减小，特别是对于大基线的BFSAR情况。此外，提出了一种基于波数分解的新策略，无需复杂的计算和数学推导，就能得到二维Nyquist采样要求，使得FFBP过程更易于设计。仿真和原始数据实验结果验证了该算法的优越性。
Due to the flexible bistatic configuration and complicated moving trajectory of radar platform, time-domain algorithms have significant focusing performance advantages for bistatic forward-looking synthetic aperture radar (BFSAR) applications. In this paper, a new fast factorized back projection (FFBP) based on orthogonal elliptical polar (OEP) coordinate is proposed for BFSAR imaging. Owing to the orthogonality of OEP system, the spectrum of BFSAR subimages can be compacted into the narrowest range and very low Nyquist sampling rate can be utilized in FFBP recursion. Comparing with the conventional FFBP based on original elliptical polar coordinate, the proposed OEP-based algorithm has prominently reduced burden in computation, especially for the BFSAR cases with large baseline geometry. Moreover, a new wavenumber decomposition-based strategy is presented to reveal two-dimensional Nyquist sample requirement without complicated calculation and mathematical derivation, which makes the FFBP process much more easier to design. Promising results from simulations and raw data experiments are presented to validate the advantages of the proposed algorithm.
登录
查看更多内容
任意运动通用双基地VHF/UHF超宽带SAR椭圆极坐标快速时域成像
DOI：
10.1109/jstars.2014.2347413
发表时间：
2015-02
影响因子：
5.5
作者：
Xie, Hongtu;An, Daoxiang(安道祥);Huang, Xiaotao;Zhou, Zhimin
通讯作者：
Zhou, Zhimin
DOI：
10.1109/oceanse.2005.1511691
发表时间：
2005-06
期刊：
Europe Oceans 2005
影响因子：
--
作者：
G. Shippey;S. Banks;J. Pihl
通讯作者：
G. Shippey;S. Banks;J. Pihl
影响因子：
1.1
作者：
M. Bao;M. Xing;Yongkang Li
通讯作者：
M. Bao;M. Xing;Yongkang Li
影响因子：
4.8
作者：
Prats, Pau;Camara de Macedo, Karlus A.;Mallorqui, Jordi J.
通讯作者：
Mallorqui, Jordi J.
影响因子：
4.8
作者：
Wenchao Li;Junjie Wu;Yulin Huang;Jianyu Yang;Haiguang Yang
通讯作者：
Wenchao Li;Junjie Wu;Yulin Huang;Jianyu Yang;Haiguang Yang