Spaceborne synthetic aperture radar imaging mapping methodology based on FPGA-DSP hybrid heterogeneous architecture
| Autor: | Wenyue Yu, Yizhuang Xie, Bingyi Li, He Chen, Xiaoning Liu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
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 Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2019) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2019.0152 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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