斜视合成孔径雷达的稀疏降采样数据成像方法

针对合成孔径雷达数据量庞大，不便于存储传输等问题，结合经典的距离多普勒成像算法与压缩感知理论，提出一种稀疏降采样斜视SAR数据的成像方法.在方位向上用随机降采样的方式录取数据，对所得数据进行相应的距离徙动校正和距离脉压，随后将方位向脉压建模为典型的压缩感知模型，用平滑l₀算法重构出二维SAR场景.利用该方法能有效地减少稀疏场景的SAR回波数据量，仅采用传统数据量的25%，即可获得清晰的二维成像结果.

Imaging Method for Squint SAR with Sparse Down Sampling Data

A novel squint synthetic aperture radar imaging method with down sampling echo is proposed to solve the problem of huge SAR data transmission and storage.In this method，the echo is under-sampling in the azimuth，and the migration correction and range pulse compression are firstly performed by traditional Rang-Doppler algorithm，and then the azimuth focusing is completed by smoothed l₀ algorithm according compressed sensing theory.This method can effectively reduce the amount of SAR echo data in sparse scenes，and obtain high resolution 2D imaging results with only 25% of the traditional data size.