Spaceborne synthetic aperture radar imaging mapping methodology based on FPGA-DSP hybrid heterogeneous architecture

Abstract

With the development of synthetic aperture radar (SAR) technologies in recent years, the huge amount of remote sensing data bring challenges for high-speed transmission and real-time processing. The general platform with GPU, CPU or digital signal processor (DSP) cannot meet the requirement for short delay and low power. Therefore, a field-programmable gate array-digital signal processor (FPGA-DSP) SAR imaging accelerate platform has become a solution for processing performance with a lower latency and power. In this study, an effective mapping strategy is adopted to the FPGA-DSP hybrid heterogeneous architecture to accelerate the processing performance according to the analysis of Chirp Scaling SAR imaging algorithms. As a proof of concept, a FPGA-DSP hybrid heterogeneous accelerating platform is designed and realised. The platform requires 12 s to focus a stripmap SAR raw data with a granularity of 16,384 × 16,384.

Keywords

• field programmable gate arrays
• digital signal processing chips
• synthetic aperture radar
• spaceborne radar
• radar imaging
• spaceborne synthetic aperture radar
• fpga-dsp hybrid heterogeneous architecture
• synthetic aperture radar technologies
• remote sensing data
• high-speed transmission
• real-time processing
• fpga-dsp hybrid heterogeneous accelerating platform
• stripmap sar raw data
• field-programmable gate array
• mapping strategy
• digital signal processor
• chirp scaling sar imaging
• radar mapping methodology
• time 12.0 s