Application of real-time signal processing in chirp scaling SAR imaging

In order to meet the challenges of space-borne SAR real-time imaging, a two-processor chirp scaling SAR processing cluster is currently under research and development. First, this paper focuses on the optimizing of real-time imaging processing method based on deep analysis of CSA and Doppler parameter estimation algorithm. And then, different levels of parallel processing technique on hardware are discussed. The experiment is performed on real space-borne SAR echo data block (16384*16384) and the whole progress is completed within 41s. The design and implementation concept of this highly flexible SAR processing cluster can be extended to other platform.