Efficient Fast Time-Domain Processing Framework for Airborne Bistatic SAR Continuous Imaging Integrated With Data-Driven Motion Compensation
Efficient Fast Time-Domain Processing Framework for Airborne Bistatic SAR Continuous Imaging Integrated With Data-Driven Motion Compensation
复制标题
与数据驱动运动补偿集成的机载双基地 SAR 连续成像高效快速时域处理框架
DOI：
10.1109/tgrs.2021.3099204
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发表时间：
2021-08
影响因子：
8.2
通讯作者：
邢孟道
中科院分区：
文献类型：
--
作者：
许高添;周松;杨磊;邓素辉;王玉皞;邢孟道
快速分解反投影(FFBP)是一种经典的快速时域算法(FTDA)，它不受回波信号方位不变性假设的限制，适用于任意几何结构的双基地合成孔径雷达(BiSAR)处理。然而，当传统的FFBP处理方法用于多个全孔径的连续成像时，处理效率将显著降低，并且会给运动补偿(MOCO)的开发带来困难。本文的主要贡献包括以下两个方面：1)提出了一种新的基于FFBP实现的连续成像FTDA框架，该框架将回波数据分成多个全口径数据块，然后通过FFBP实现分别处理回波数据，以减少冗余的BP运算，从而获得高效率。2)基于新的FTDA框架，提出了一种高效、有效的数据驱动MOCO方法。在MOCO中，由于子图像的相位误差函数是从不同的局部极坐标系在相位历史域中估计的，这些相位误差函数实际上在空间域是不连续的，这将给最终图像带来严重的不连续性和散焦。为了解决这一问题，揭示了空域和波数域的误差函数之间的对应关系，并在此基础上重构了相位误差函数，从而消除了高聚焦质量的不连续性。通过仿真实验和原始数据实验，验证了该算法的高性能。
Fast factorized back-projection (FFBP) is a classic fast time-domain algorithm (FTDA), which is not limited by the assumption of azimuth-invariant of echo signal and is suitable for the bistatic synthetic aperture radar (BiSAR) process of arbitrary geometric configuration. However, when the conventional FFBP processing is employed for continuous imaging of multiple full-apertures, the processing efficiency will be decreased significantly, and difficulty will be introduced in motion compensation (MOCO) development. The main contributions in this article include the following two aspects: 1) a new FTDA framework based on FFBP implementation is developed for continuous imaging where echo data are divided into several full-aperture data blocks and then processed separately by FFBP implementation to reduce redundant BP operations for achieving high efficiency and 2) an efficient and effective data-driven MOCO methodology is developed based on the new FTDA framework for high focusing quality. In MOCO, because the phase error functions of subimages are estimated in the phase history domain from different local polar coordinate systems, these phase error functions are actually discontinuous in the spatial domain, which will bring significant discontinuity and defocusing into the final image. To address this problem, the correspondence of error functions between the spatial domain and the wavenumber domain is revealed based on which the phase error functions are reconstructed to remove the discontinuity for high focusing quality. Promising results from both simulation and raw data experiments are provided and analyzed to validate the high performance of the proposed algorithm.
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