A new generic processing scheme for large baseline spaceborne bistatic SAR data imaging
A new generic processing scheme for large baseline spaceborne bistatic SAR data imaging
复制标题
一种新的大基线星载双基地SAR数据成像通用处理方案
DOI：
10.1080/01431161.2013.807380
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发表时间：
2013-10-10
影响因子：
3.4
通讯作者：
Liang，Diannong
中科院分区：
文献类型：
--
作者：
He，Feng;Li，Baoguo;Liang，Diannong
标准的合成孔径雷达（SAR）处理器使用解析推导的传递函数，依赖于假设的双曲线的距离历史的单基地SAR与直线飞行路径。双基地SAR的距离历程不再是双曲的，简单的解析变换也不存在。本文提出了一种双基地分段双曲距离历程（BS-HRH）模型，并在此基础上给出了一种通用的双基地SAR成像处理方案，该方案仍然可以应用标准单基地SAR的简单解析变换。利用Envisat卫星的轨道参数和一个典型的类双基地构型，在不同基线下进行了一维和二维信号电平仿真。结果发现，所提出的BS-HRH算法表现良好的星载双基地SAR，即使极端的双基地配置和/或非常高的方位分辨率。与现有的解析“级数反演法（MSR）”和数值“NuSAR”算法相比，该算法具有实现简单、效率高、精度高、数学计算简单等优点。BS-HRH的方法有可能解决一般HRH偏差问题的其他新的SAR与更复杂的成像几何。
Standard synthetic aperture radar (SAR) processors use analytically derived transfer functions that rely on the assumption of hyperbolic range histories of monostatic SARs with straight flight paths. The range histories for bistatic SARs are no longer hyperbolic and simple analytic transforms do not exist. In this article, a bistatic subsection hyperbolic range history (BS-HRH) model is proposed and based on it; a generic processing scheme for bistatic SAR imaging is given with which simple analytic transforms for standard monostatic SARs can still be applied. One-dimensional and two-dimensional signal-level simulations are done using the orbit parameters of Envisat and a classic pendulum-like bistatic configuration under different baselines. It is found that the proposed BS-HRH algorithm performs well for spaceborne bistatic SARs even with extreme bistatic configurations and/or very high azimuth resolution. Compared with the existing analytical ‘method of series reversion (MSR)’ and the numerical ‘NuSAR’ algorithm, easy implementation, high efficiency and accuracy, and mathematical simplicity are among the advantages of the proposed algorithm. The approach of BS-HRH has the potential to solve the general HRH-deviation problem for other new SARs with more complex imaging geometry.