Abstract: SAR (Synthetic Aperture Radar), or synthetic aperture radar, is an active earth observation system. In recent years, SAR has gradually developed towards multi-platform, and has appeared on small mobile platforms such as unmanned aerial vehicles and probe vehicles. SAR imaging is an imaging program running on SAR. Due to the emergence of a new special operating environment, it has stricter requirements for low energy consumption and high computing power. How to provide high- performance, low-power application support for a specific platform has become a core point. This paper analyzes the characteristics of SAR imaging calculation and memory access, and specifically optimizes the program and tests the performance of the program on the x86 platform to obtain a reliable performance reference. On this basis, oriented to the hardware structure of the DSP+FFT accelerator, a mathematical model of computing power ratio is constructed to provide a solution for hardware design.

Key words: SAR imaging, parallel processing, hardware design, x86, computing power distribution ratio