提高CS算法处理效率的一种处理结构

合成孔径雷达(SAR)实时成像处理有着重要的实用价值，因而受到各国的普遍重视。由于SAR信号处理的数据量较大，实时性要求比较高，且SAR成像处理属于两维信号处理，因而在处理过程中涉及到转角存储问题。文中提出以矢量处理模块为核心的实时处理机，该处理机可以方便地完成1M点的复数两维FFT处理。利用两维FFT处理完成CS算法时，可以避免了转角存储，从而提高了处理效率。其本质在于，矢量处理模块能够管理大容量存储器，生成合适的地址；在完成大点数处理时也能保持良好的处理速度。

Improvement of the Efficiency of CSA with a Vector Processor

In many SAR (Synthetic Aperture Radar) imaging algorithm, the corner turning memory takes up much time during imaging processing. This paper uses VP (Vector processor) to implement CSA (Chirp Scaling Algorithm), so as to reduce time required for memory operation. So the VP is suitable for CSA imaging, and use of this method could improve the efficiency of SAR imaging. The essence is that VP could generate the appropriate address and could manage massive RAM. If a real time SAR imaging system is designed reasonably, RDA, Extend CSA will have this overhead.