基于聚束照射SAR成像算法的条带SAR数据处理

为实现聚束照射合成孔径雷达（SAR）与条带模式SAR成像算法上的统一，本文利用两种模式之间的内在联系，将条带模式SAR数据分块处理，等效成聚束模式数据。然后，用聚束照射SAR成像算法实现条带数据的成像处理。针对具体数据，文中还对成像区大小的选择作了分析，并推导出成像长度与滤波器带宽应当满足的关系式。包场数据的处理严格证实了理论分析并验证了本文运用的方法。

Stripmap SAR Data Processing Based on Spotlight SAR Image Formation Algorithm

In order to process stripmap mode data with spotlight image formation algorithm by using inherent relation between spotlight mode SAR and stripmap mode SAR, the stripmap raw data divided into segmentsis firstly is equivalent to the spotlight data. And then sub image formation for stripmap mode SAR is performed by multiple subpatch processing algorithm based on spotlight mode SAR, namely, range compression is carried out by matched filtering, while azimuth compression is implemented by dechirp fast Fourier transformation (dechirp FFT) approach. Finally, all sub images are properly mosaiced to produce a whole image. To the real data, this paper also studies how to choose scene size to avoid significant motion through resolution cells (MTRC), and develops the formula of filter bandwidth determined by scene size. The processing results of outfield data show strictly theoretical analysis and the feasibility of the method.