دورية أكاديمية
Advanced GNSS-R Signals Processing With GPUs
| العنوان: | Advanced GNSS-R Signals Processing With GPUs |
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| المؤلفون: | Oriol Cervello i Nogues, Daniel Pascual, Raul Onrubia, Adriano Camps |
| المصدر: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1158-1163 (2020) |
| بيانات النشر: | IEEE, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Ocean engineering LCC:Geophysics. Cosmic physics |
| مصطلحات موضوعية: | Compute unified device architecture (CUDA), global navigation satellite system reflectometry (GNSS-R), graphics processing unit (GPU) processing, parallel computing, real-time processing, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809 |
| الوصف: | Global navigation satellite system reflectometry (GNSS-R) is a group of techniques that uses satellite navigation signals as signals of opportunity for remote sensing applications. In GNSS-R, large amounts of data are acquired and have to be processed. Computation time is typically the bottleneck for ground and airborne experiments. This article presents an efficient solution for off-line GNSS-R processing data taking advantage of graphics processing units (GPUs). After comparing to the typically used CPU languages, such as MATLAB and C++, the advantage of using parallel processing on the GPU is clear. GPU-based computation can reduce the processing time by as much as 95% of the acquisition time of the data. An implementation taking advantage of a home-use GPU is proposed for the data processing units. Thanks to its efficiency, even real-time processing experiments are feasible. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2151-1535 |
| Relation: | https://ieeexplore.ieee.org/document/9028131/; https://doaj.org/toc/2151-1535 |
| DOI: | 10.1109/JSTARS.2020.2975109 |
| URL الوصول: | https://doaj.org/article/61b80577b9084afeaed9595826b2a5c2 |
| رقم الأكسشن: | edsdoj.61b80577b9084afeaed9595826b2a5c2 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21511535 |
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| DOI: | 10.1109/JSTARS.2020.2975109 |